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3/32www.signalprocessingsociety.org [1] MARCH 2012

FEBRUARY 2012 VOLUME 60 NUMBER 2 ITPRED (ISSN 1053-587X)

REGULAR PAPERS

Statistical Signal Processing

Some Relations Between Extended and Unscented Kalman Filters .. . .. . .. .. . . ............. F. Gustafsson and G. Hendeby 545Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images . . . . . . . . . . . .. .. .. .. .. . L. Fillatre 556Power Constrained Linear Estimation in Wireless Sensor Networks With Correlated Data and Digital Modulation . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. H. Chaudhary and L. Vandendorpe 570A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing ............................

................................................................. K. E. Themelis, A. A. Rontogiannis, and K. D. Koutroumbas 585

Digital and Multirate Signal Processing

Analysis of Modulated Multivariate Oscillations . .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. . J. M. Lilly and S. C. Olhede 600

Signal Reconstruction via Sampled-Data Control TheoryBeyond the Shannon Paradigm .. .. .. .. .. .. .. .. .. .. .. .. .. ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . Y. Yamamoto, M. Nagahara, and P. P. Khargonekar 613

Optimized Compact-Support Interpolation Kernels .................... R. Madani, A. Ayremlou, A. Amini, and F. Marvasti 626Projection-Based and Look-Ahead Strategies for Atom Selection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

................................................................. S. Chatterjee, D. Sundman, M. Vehkaper, and M. Skoglund 634

Machine Learning

Large Margin Filtering . .. .. .. .. .. .. . . . . . . . . . . . . . . R. Flamary, D. Tuia, B. Labb, G. Camps-Valls, and A. Rakotomamonjy 648

Sensor Array and Multichannel Processing

A Bilinear Approach to the Position Self-Calibration of Multiple Sensors . . . ...... M. Crocco, A. Del Bue, and V. Murino 660-Regularized STAP Algorithms With a Generalized Sidelobe Canceler Architecture for Airborne Radar ................ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Yang, R. C. de Lamare, and X. Li 674

The MIMO Radar and Jammer Games .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. X. Song, P. Willett, S. Zhou, and P. B. Luh 687

Sequential Detection With Mutual Information Stopping Cost .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . V. Krishnamurthy, R. R. Bitmead, M. Gevers, and E. Miehling 700

Scheduling and Power Allocation in a Cognitive Radar Network for Multiple-Target Tracking . . .. .. .. .. . .. .. .. .. . .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Chavali and A. Nehorai 715

Adaptive Compressive Sensing and Processing of Delay-Doppler Radar Waveforms ............ .. .. .. .. .. .. . I. Kyriakides 730Robust Adaptive Beamforming Using Multidimensional Covariance Fitting ..... ..... M. Rbsamen and A. B. Gershman 740

(Contents Continued on Back Cover)



(Contents Continued from Front Cover)

Signal Processing for Communications

Joint Carrier Frequency Offset and Channel Estimation for OFDM Systems via the EM Algorithm in the Presence of VeryHigh Mobility ................................ .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . E. P. Simon, L. Ros, H. Hijazi, and M. Ghogho 754

LTI Transceivers With Reduced Redundancy . .. .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. .. W. A. Martins and P. S. R. Diniz 766Joint Transceiver Beamforming in MIMO Cognitive Radio Network Via Second-Order Cone Programming . . . . . . . . . . . . .

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... H. Du, T. Ratnarajah, M. Pesavento, and C. B. Papadias 781Timing and Carrier Synchronization With Channel Estimation in Multi-Relay Cooperative Networks .. .. .. .. .. . .. .. .. .. . .

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. A. A. Nasir, H. Mehrpouyan, S. D. Blostein, S. Durrani, and R. A. Kennedy 793

MIMO Communications & Signal Processing

On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel . . . . . . . . . . . . . ................................................................................... M. Razaviyayn, G. Lyubeznik, and Z.-Q. Luo 812

Lattice Quantization of Phases for Equal Gain Transmission .................... .................... S.-H. Tsai and Y.-P. Lin 822Polite Water-Filling for Weighted Sum-Rate Maximization in MIMO B-MAC Networks Under Multiple Linear

Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....................................... A. Liu, Y. Liu, H. Xiang, and W. Luo 834Capacity of MIMO Systems With Mutual Coupling: Transmitter Optimization With Dual Power Constraints . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Sun, P. Li, M. R. McKay, R. D. Murch 848Sum Rate Analysis of a Reduced Feedback OFDMA Downlink System Employing Joint Scheduling and Diversity . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S.-H. Hur and B. D. Rao 862Gradient-Based Power Minimization in MIMO Broadcast Channels With Linear Precoding ................................

........................................................................................ C. Hellings, M. Joham, and W. Utschick 877

Signal Processing for Sensor Networks

Diffusion Kalman Filtering Based on Covariance Intersection . .. .. .. .. .. . .. .. . .. .. .. .. .. .. .. .. . J. Hu, L. Xie, and C. Zhang 891Globally Optimized Power Allocation in Multiple Sensor Fusion for Linear and Nonlinear Networks . .. .. . .. .. .. .. . .. .. ..

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... U. Rashid, H. D. Tuan, P. Apkarian, and H. H. Kha 903

Signal Processing for Wireless Networks

Multiuser Cooperative Diversity Through Network Coding Based on Classical Coding Theory .. .. . .. . .. .. .. .. . .. .. .. .. . .... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. J. L. Rebelatto, B. F. Ucha-Filho, Y. Li, and B. Vucetic 916

Throughput Scaling in Cognitive Multiple Access With Average Power and Interference Constraints .. .. .. . .. .. .. .. . .. .. ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E. Nekouei, H. Inaltekin, and S. Dey 927

Biomedical Signal Processing

Efficient Compression of QRS Complexes Using Hermite Expansion .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. A. Sandryhaila, S. Saba, M. Pschel, and J. Kovacevic 947

CORRESPONDENCE

Statistical Signal Processing

Network-Based Filtering for Discrete-Time Systems .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. . X.-M. Zhang and Q.-L. Han 956Sparse Estimation of Spectral Lines: Grid Selection Problems and Their Solutions .................. P. Stoica and P. Babu 962Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

...................................................................................... N. Pustelnik, J.-C. Pesquet, and C. Chaux 968

Adaptive Signal Processing

Steady-State Analysis of Diffusion LMS Adaptive Networks With Noisy Links .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ................................................................... A. Khalili, M. A. Tinati, A. Rastegarnia, and J. A. Chambers 974


Minimax Phase Error Design of IIR Digital Filters With Prescribed Magnitude and Phase Responses .. .. .. .. .. . .. .. .. .. . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Lai and Z. L in 980

Sensor Array and Multichannel Processing

Statistical Resolution Limit for Source Localization With Clutter Interference in a MIMO Radar Context . . . . . . . . . . . . . . . .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. M. N. El Korso, R. Boyer, A. Renaux, and S. Marcos 987

EDICSEditors Information Classification Scheme ..................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 993Information for Authors ....................................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994



FEBRUARY 2012 VOLUME 20 NUMBER 2 ITASD8 (ISSN 1558-7916)

EDITORIAL

Introduction to the Special Section on New Frontiers in Rich Transcription . . . . . . ....... S. Furui, J. Fiscus, G. Friedland, and T. Hain 353

SPECIAL SECTION PAPERS

Speaker Diarization: A Review of Recent Research . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. X. Anguera Miro, S. Bozonnet, N. Evans, C. Fredouille, G. Friedland, and O. Vinyals 356

The ICSI RT-09 Speaker Diarization System ..................................................................................................

.. .. .. . .. . .. . .. . .. . .. . .. . G. Friedland, A. Janin, D. Imseng, X. Anguera Miro, L. Gottlieb, M. Huijbregts, M. T. Knox, and O. Vinyals 371A Comparative Study of Bottom-Up and Top-Down Approaches to Speaker Diarization .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

............................................................................ N. Evans, S. Bozonnet, D. Wang, C. Fredouille, and R. Troncy 382Speaker Diarization Error Analysis Using Oracle Components ...................... M. Huijbregts, D. A. van Leeuwen, and C. Wooters 393Large-Scale Speaker Diarization for Long Recordings and Small Collections .................... M. Huijbregts and D. A. van Leeuwen 404Initialization of Iterative-Based Speaker Diarization Systems for Telephone Conversations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . O. Ben-Harush, O. Ben-Harush, I. Lapidot, and H. Guterman 414Speaker Diarization Features: The UPM Contribution to the RT09 Evaluation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . J. M. Pardo, R. Barra-Chicote, R. San-Segundo, R. de Crdoba, and B. Martnez-Gonzlez 426Simultaneous Speech Detection With Spatial Features for Speaker Diarization . .. . M. Zelenk, C. Segura, J. Luque, and J. Hernando 436Probabilistic Speaker Diarization With Bag-of-Words Representations of Speaker Angle Information . .. . .. .. . .. . .. . .. .. . .. .. . .. . .. . .. ..

............................................................................ K. Ishiguro, T. Yamada, S. Araki, T. Nakatani, and H. Sawada 447Speaker Clustering and Cluster Purification Methods for RT07 and RT09 Evaluation Meeting Data ......................................

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. L. Nwe, H. Sun, B. Ma, and H. Li 461Bilingual Experiments on Automatic Recovery of Capitalization and Punctuation of Automatic Speech Transcripts ....................

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. F. Batista, H. Moniz, I. Trancoso, and N. Mamede 474Transcribing Meetings With the AMIDA Systems ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ..

. . . . . . . . . . . . . T. Hain, L. Burget, J. Dines, P. N. Garner, F. Grzl, A. E. Hannani, M. Huijbregts, M. Karafit, M. Lincoln, and V. Wan 486Low-Latency Real-Time Meeting Recognition and Understanding Using Distant Microphones and Omni-Directional Camera . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Hori, S. Araki, T. Yoshioka,M. Fujimoto, S. Watanabe, T. Oba, A. Ogawa, K. Otsuka, D. Mikami, K. Kinoshita, T. Nakatani, A. Nakamura, and J. Yamato 499





REGULAR PAPERS

Echo Cancellation

Learning Echo Paths During Continuous Double-Talk Using Semi-Blind Source Separation ................. . . . . . . . . . . . . . . . . J. Gunther 646Multichannel Dereverberation Theorems and Robustness Issues .. .. . .. . .. .. . .. . ..................... H. Hachabiboglu and Z. Cvetkovic 676

Source Separation and Signal Enhancement

Multi-Channel Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method .. . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Yu, W. Ma, J. Xin, and S. Osher 661

Spatial and Multichannel Audio

On High-Resolution Head-Related Transfer Function Measurements: An Efficient Sampling Scheme . .. .. . .. . .. . .. . .. . .. . . .. . .. .. . .. . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. Zhang, M. Zhang, R. A. Kennedy, and T. D. Abhayapala 575

Content-Based Audio Processing

Predictability of Music Descriptor Time Series and its Application to Cover Song Detection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Serr, H. Kantz, X. Serra, and R. G. Andrzejak 514

Speech Perception and Psychoacoustics

A Mixed Decorrelation Approach for Stereo Acoustic Echo Cancellation Based on the Estimation of the Fundamental Frequency ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L . Romoli, S. Cecchi, P. Peretti, and F. Piazza 690

Speech Coding

Low Bit-Rate Speech Coding Through Quantization of Mel-Frequency Cepstral Coefficients .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. E. Boucheron, P. L. De Leon, and S. Sandoval 610

Speech Enhancement

A Dual-Microphone Speech Enhancement Algorithm Based on the Coherence Function .. . . . . . . .. .. . .. . N. Yousefian and P. C. Loizou 599

Robust Speech Recognition

A Word-Based Nave Bayes Classifier for Confidence Estimation in Speech Recognition ...... . . . . . A. Sanchis, A. Juan, and E. Vidal 565Speech Feature Mapping Based on Switching Linear Dynamic System .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. S. Kim, T. G. Kang, S. J. Kang, C. W. Han, and D. H. Hong 620

General Topics in Speech Recognition

WFST Enabled Solutions to ASR Problems: Beyond HMM Decoding ....................................................................... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. B. Hoffmeister, G. Heigold, D. Rybach, R. Schlter, and H. Ney 551

Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification .......................... S. Yun and C. D. Yoo 585

Spoken Language Understanding

Discriminative Reranking for Spoken Language Understanding .............. . .. . .. . .. . .. .. M. Dinarelli, A. Moschitti, and G. Riccardi 526

Speech Data Mining and Document Retrieval

Interactive Spoken Document Retrieval With Suggested Key Terms Ranked by a Markov Decision Process . . .. . .. .. .. . .. .. .. .. . .. . .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y.-C. Pan, H .-Y. L ee, a nd L .-S. L ee 632

Language Modeling and Speech Understanding

Discriminative Language Modeling With Linguistic and Statistically Derived Features .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E. Arsoy, M. Saralar, B. Roark, and I. Shafran 540

CORRESPONDENCE

Source Separation and Signal Enhancement

A Perspective on Differential Microphone Arrays in the Context of Noise Reduction .. . . . . .. . . . . . J. Benesty, M. Souden, and Y. Huang 699

Speech Analysis

All-Pole Modeling of Discrete Spectral Powers: A Unified Approach ............. . . . . . . . . . . . . . F. Mustire, M. Bouchard, and M. Bolic 705

ERRATUM

Errata to Using Steady-State Suppression to Improve Speech Intelligibility in Reverberant Environments for Elderly Listeners ...... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Arai, N. Hodoshima, and K. Yasu 709

EDICSEditors Information and Classification Scheme ......................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710Information for Authors ............................................................. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712



JANUARY 2012 VOLUME 21 NUMBER 1 IIPRE4 (ISSN 1057-7149)

PAPERS

Structural-Model Based Methods

Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles .............................................................................................................................................. Z. Zhang, T. Tan, K. Huang, and Y. Wang 1

Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing . .. . .. . .. .. . .. .. . .. . .. . .. . .. .. . .. . ..... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . B. Perret, S. Lefvre, C. Collet, and . Slezak 14

Image and Video Representation

A Bayesian Theoretic Approach to Multiscale Complex-Phase-Order Representations .. .. .. . .. .. . .. . .. . .. . ..................... A. Wong 28

Perception and Quality Models for Images and Video

A Psychovisual Quality Metric in Free-Energy Principle .. .. .. . .. .. .. . .. ... .. . .. . .. .. . .. . G. Zhai, X. Wu, X. Yang, W. Lin, and W. Zhang 41

Interpolation, Super-Resolution, and Mosaicing

A Coarse-to-Fine Subpixel Registration Method to Recover Local Perspective Deformation in the Application of ImageSuper-Resolution ................................................. ... ... ... ... ... ... ... ... ... ... ... ... ... ... . F. Zhou, W. Yang, and Q. Liao 53

Preconditioning for Edge-Preserving Image Super Resolution ....................... .. .. .. .. .. .. .. .. .. . S. Pelletier and J. R. Cooperstock 67

Restoration and Enhancement

Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization ...................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Lee, C. Lee, Y.-Y. Lee, and C.-S. Kim 80

Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements .......................................................

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... V. M. Patel, R. Maleh, A. C. Gilbert, and R. Chellappa 94A PrimalDual Method for Total-Variation-Based Wavelet Domain Inpainting . . . . . . . . ........... Y.-W. Wen, R. H. Chan, and A. M. Yip 106Analyzing Image Deblurring Through Three Paradigms .. .. .. . .. .. .. . .. .. .. . .. .. . .. . .. . . C. Wang, L. Sun, P. Cui, J. Zhang, and S. Yang 115Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. M. Zhou, H. Chen, J. Paisley, L. Ren, L. Li, Z. Xing, D. Dunson, G. Sapiro, and L. Carin 130Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling . . . . . . . . .. .. . .. . T. Celik and T. Tjahjadi 145

Biomedical and Biological Image Processing

Nonrigid Brain MR Image Registration Using Uniform Spherical Region Descriptor ............ .. .. .. .. .. . S. Liao and A. C. S. Chung 157Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration . . . . . . . ... . .. . .. . D. Mahapatra and Y. Sun 170





Lossy Coding of Images and Video

Anomaly Detection and Reconstruction From Random Projections ....................... ....................... J. E. Fowler and Q. Du 184Highly Parallel Line-Based Image Coding for Many Cores ........................ .. .. .. .. .. .. .. .. .. .. X. Peng, J. Xu, Y. Zhou, and F. Wu 196

Image and Video Processing for Watermarking and Security

A Secret-Sharing-Based Method for Authentication of Grayscale Document Images via the Use of the PNG Image With a Data RepairC apabili ty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . C.-W. Lee and W.-H. Tsai 207

Color and Multispectral ImagingSparse Demixing of Hyperspectral Images ............................................. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. B. Greer 219

Hardware and Software Systems for Computational Imaging

A Novel Algorithm for View and Illumination Invariant Image Matching . . . . . . . . . . . .. .. . .. .. .. .. . Y. Yu, K. Huang, W. Chen, and T. Tan 229

Region, Boundary, and Shape Analysis

B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based Segmentation .. . .. .. .. .. . .. .. .. . .. . .. .. ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. D. Barbosa, T. Dietenbeck, J. Schaerer, J. Dhooge, D. Friboulet, and O. Bernard 241

An Online Learning Approach to Occlusion Boundary Detection . .. . .. .. . .. . ................. N. Jacobson, Y. Freund, and T. Q. Nguyen 252

Image and Video Mid Level Analysis

Efficient Registration of Nonrigid 3-D Bodies .................................... ... ... ... ... ... ... ... ... ... ... H. Chen and N. Kingsbury 262

Image and Video Interpretation and Understanding

Image Authentication Using Distributed Source Coding ....................... .. .. .. .. .. .. .. .. .. .. Y.-C. Lin, D. Varodayan, and B. Girod 273

Iterative Narrowband-Based Graph Cuts Optimization for Geodesic Active Contours With Region Forces (GACWRF) . . . ... .. W. Tao 284An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves . . . . . . . . . . . . . .

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... S. Ehsan, N. Kanwal, A. F. Clark, and K. D. McDonald-Maier 297

Image and Video Biometric Analysis

Coupled BiasVariance Tradeoff for Cross-Pose Face Recognition .. .. .. . .. . .. .. . .. . .. . .. .. .. .. .. .. .. .. .. .. . A. Li, S. Shan, and W. Gao 305Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group-Sparse Representation ....................

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Xu, Y. Huang, Z. Zeng, and X. Xu 316Very Low Resolution Face Recognition Problem .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . W. W. W. Zou and P. C. Yuen 327

Image and Video Synthesis, Rendering, and Visualization

Probabilistic Exposure Fusion .. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. .. . M. Song, D. Tao, C. Chen, J. Bu, J. Luo, and C. Zhang 341Multiple Exposure Fusion for High Dynamic Range Image Acquisition .......................................... T. Jinno and M. Okuda 358Toward Dynamic Image Mosaic Generation With Robustness to Parallax .. . .. .. . .. . .. . .. ................. Q. Zhi and J. R. Cooperstock 366

CORRESPONDENCE


An Energy-Based Model for the Image Edge-Histogram Specification Problem .. . .. . .. .. .. .. . .. . .. .. ...................... M. Mignotte 379


PSF Estimation via Gradient Domain Correlation ................................. ... ... ... ... ... ... ... ... ... W. Hu, J. Xue, and N. Zheng 386


Edge Strength Filter Based Color Filter Array Interpolation ........................ .. .. .. .. .. .. .. .. .. .. I. Pekkucuksen and Y. Altunbasak 393

Formation and Reconstruction

Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise . . . . . . . ... .. . .. . . D.-S. Pham and S. Venkatesh 397

Image and Video Processing for Watermarking and Security

Capacity Analysis For Orthogonal Halftone Orientation Modulation Channels .......... .......... O. Bulan, V. Monga, and G. Sharma 405

Low Distortion Transform for Reversible Watermarking .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. C oltuc 412

Region, Boundary, and Shape Analysis

Binarization of Low-Quality Barcode Images Captured by Mobile Phones Using Local Window of Adaptive Location and Size . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Yang, A. C. Kot, and X. Jiang 418


Fast Vanishing-Point Detection in Unstructured Environments . . . . . . . . . . . ... . .. . .. . .. . P. Moghadam, J. A. Starzyk, and W. S. Wijesoma 425


Smile Detection by Boosting Pixel Differences . .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Shan 431



FEBRUARY 2012 VOLUME 21 NUMBER 2 IIPRE4 (ISSN 1057-7149)

PAPERS

Image and Video Sensing, Modeling, and Representation

A Semitransparency-Based Optical-Flow Method With a Point Trajectory Model for Particle-Like Video . . . . . . . . . .. .. .. .. . H. Sakaino 441

Image and Video Sensing and Acquisition

Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications . . . ..... X. Wu, W. Dong, X. Zhang, and G. Shi 451Reciprocal Focus Prol e . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ............................................ D.-C. Tsai and H. H. Chen 459


Joint Learning for Single-Image Super-Resolution via a Coupled Constraint ........... ........... X. Gao, K. Zhang, D. Tao, and X. Li 469Stochastic Uncertainty Models for the Luminance Consistency Assumption . .. .. . .. .. .. .. . .... .. .. .. .. .. .. .. .. T. Corpetti and E. Mmin 481Kronecker Compressive Sensing ..................................... ... ... ... .. ... ... ... ... ... ... ... ... . M. F. Duarte and R. G. Baraniuk 494

Perception and Quality Models for Images and Video

Two-Dimensional Approach to Full-Reference Image Quality Assessment Based on Positional Structural Information .................... .. ... ... ... .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... L. Capodiferro, G. Jacovitti, and E. D. Di Claudio 505

RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment . . . . ..... R. Soundararajan and A. C. Bovik 517

Image and Video Processing Techniques

A Kalman-Filtering Approach to High Dynamic Range Imaging for Measurement Applications . . . . . . . .. .. .. .. E. Dedrick and D. Lau 527

Multiresolution Processing of Images and Video

Wavelet Variance Analysis for Random Fields on a Regular Lattice . .. .. .. . . .. . .. . . .. ... .. .. .. .. .. .. .. .. .. D. Mondal and D. B. Percival 537Critically Sampled Wavelets With Composite Dilations .. .. .. .. .. .. .. .. .. .. .. .. .. .... ... ... ... ... ... ... ... ... . G. R. Easley and D. Labate 550

Framelet-Based Blind Motion Deblurring From a Single Image ..................... .. .. .. .. .. .. .. .. . J.-F. Cai, H. Ji, C. Liu, and Z. Shen 562


Algorithms for the Digital Restoration of Torn Films ...................... .. .. .. .. .. .. .. .. .. .. . D. Corrigan, A. Kokaram, and N. Harte 573Rate-Distortion Analysis of Directional Wavelets .. .. .. .. .. .. .. .. .. .. .. ......................... A. Maleki, B. Rajaei, and H. R. Pourreza 588






Bayesian Estimation for Optimized Structured Illumination Microscopy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . F. Orieux, E. Sepulveda, V. Loriette, B. Dubertret, and J.-C. Olivo-Marin 601

Multiscale Semilocal Interpolation With Antialiasing .................... .. .. .. .. .. .. .. .. .. .. K. Guo, X. Yang, H. Zha, W. Lin, and S. Yu 615

Formation and Reconstruction

An Efcient Camera Calibration Technique Offering Robustness and Accuracy Over a Wide Range of Lens Distortion ................. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. R ahman and N. Krouglicof 626

Feature-Specic Difference Imaging ... ... ... ... ... ... ... ... ... ... .. .. .. .. .. .. .. .. .. .. .. .. .. . S. Uttam, N. A. Goodman, and M. A. Neifeld 638


Multiple Descriptions Coinciding Lattice Vector Quantizer for Wavelet Image Coding ............ E. Akhtarkavan and M. F. M. Salleh 653An Investigation of Dehazing Effects on Image and Video Coding . .. . .. .. .. . .. . ............. K. B. Gibson, D. T. V, and T. Q. Nguyen 662Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition . . . . Z. Gu, W. Lin, B.-s. Lee, and C. Lau 674

Color and Multispectral Imaging

HANS: Controlling Ink-Jet Print Attributes Via Neugebauer Primary Area Coverages . . . ... .. . J. Morovi, P. Morovi, and J. Arnabat 688Color Constancy for Multiple Light Sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A . Gijsenij, R. Lu, and T. Gevers 697

Stereoscopic and Multiview Processing and Display

On the Bandwidth of the Plenoptic Function . .. .. .. .. .. .. .. .. .. .. . .. .. .. .. .. .. .. .. .. .. .. M. N. Do, D. Marchand-Maillet, and M. Vetterli 708Theoretical Analysis of View Interpolation With Inaccurate Depth Information . . . .. . .. .. .. . .. .. .. . . ........................ K. Takahashi 718

Tomographic Imaging

CT Reconstruction From Parallel and Fan-Beam Projections by a 2-D Discrete Radon Transform .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ............................................................................................... A. Averbuch, I. Sedelnikov, and Y. Shkolnisky 733

Magnetic Resonance Imaging

A Fast MajorizeMinimize Algorithm for the Recovery of Sparse and Low-Rank Matrices .... . . . Y. Hu, S. G. Lingala, and M. Jacob 742

Radar Imaging, Remote Sensing, and Geophysical Imaging

Robust Through-the-Wall Radar Image Classication Using a Target-Model Alignment Procedure .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. E. Smith and B. G. Mobasseri 754

Hardware and Software Systems for Computational Imaging

Precision-Aware Self-Quantizing Hardware Architectures for the Discrete Wavelet Transform .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .................................................................................................. D.-U. Lee, L.-W. Kim, and J. D. Villasenor 768


Histogram Contextualization ... ... ... ... ... .. ... ... ... ... ... ... ... . ... ... ... ... ... ... ... ... ... ... ... ... ... J. Feng, B. Ni, D. Xu, and S. Yan 778Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling . . . . . ..... X. Zhou, Y. Lu, J. Lu, and J. Zhou 789


Combining Head Pose and Eye Location Information for Gaze Estimation .. .. .. . . .. . .. ... .. .. .. .. .. . R. Valenti, N. Sebe, and T. Gevers 802Tensor Learning for Regression ...................................... ... ... ... .. ... ... ... ... ... ... ... ... ... W. Guo, I. Kotsia, and I. Patras 816Object Segmentation of Database Images by Dual Multiscale Morphological Reconstructions and Retrieval Applications .............

. . . . .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . J.-J. Chen, C.-R. Su, W. E. L. Grimson, J.-L. Liu, and D.-H. Shiue 828

Image and Video Biometric Analysis

A Statistical Method for 2-D Facial Landmarking .. .. .. .. .. .. .. .. .. .. .. ...................... H. Dibekliolu, A. A. Salah, and T. Gevers 844Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition . .. . F. R. Al-Osaimi, M. Bennamoun, and A. Mian 859

Image and Video Synthesis, Rendering, and Visualization

Single-Image Refocusing and Defocusing .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..... ... ... ... ... ... ... ... ... ... ... .. W. Zhang and W.-K. Cham 873

CORRESPONDENCE


An Alternating Minimization Algorithm for Binary Image Restoration .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Zhang 883


Design of Interpolation Functions for Subpixel-Accuracy Stereo-Vision Systems . . . . . . . . . . . . . . .............. I. Haller and S. Nedevschi 889


Eye-Tracking Database for a Set of Standard Video Sequences . .. .. .. . .. .. ................ H. Hadizadeh, M. J. Enriquez, and I. V. Baji 898

EDICSEditors Classication Information Scheme . ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 904Information f or Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 905



FEBRUARY 2012 VOLUME 7 NUMBER 1 ITIFA6 (ISSN 1556-6013)

PART I OF TWO PARTS

SPECIAL ISSUEON INTEGRATEDCIRCUIT AND SYSTEM SECURITY

EDITORIAL

Guest Editorial: Special Issue on Integrated Circuit and System Security .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . M. Potkonjak, R. Karri, I. Verbauwhede, and K. Itoh 1

PAPERS

A Formal Approach to Designing Cryptographic Processors Based on Arithmetic Circuits ... .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Homma, K. Saito, and T. Aoki 3

Intrinsic Physical-Layer Authentication of Integrated Circuits .................................................................... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. W. E. Cobb, E. D. Laspe, R. O. Baldwin, M. A. Temple, and Y. C. Kim 14

Proof-Carrying Hardware Intellectual Property: A Pathway to Trusted Module Acquisition .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E. Love, Y. Jin, and Y. Makris 25

Improved Differential Fault Analysis on AES Key Schedule .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. H. Kim 41Provably Secure Active IC Metering Techniques for Piracy Avoidance and Digital Rights Management .. .. .. . .. .. .. . .. . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Koushanf ar 51Characterizing the Efcacy of the NRL Network Pump in Mitigating Covert Timing Channels .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. S. K. Gorantla, S. Kadloor, N. Kiyavash, T. P. Coleman, I. S. Moskowitz, and M. H. Kang 64Layout-Aware Switching Activity Localization to Enhance Hardware Trojan Detection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Salmani and M. Tehranipoor 76New Fault-Based Side-Channel Attack Using Fault Sensitivity . . . . . . . . . . . . . .. .. .. .. .. .. .. Y. Li, K. Ohta, and K. Sakiyama 88A Pay-per-Use Licensing Scheme for Hardware IP Cores in Recent SRAM-Based FPGAs .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

.................................................................................. R. Maes, D. Schellekens, and I. Verbauwhede 98Information-Theoretic Approach to Optimal Differential Fault Analysis .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.................................................................................. K. Sakiyama, Y. Li, M. Iwamoto, and K. Ohta 109

EDICSEditors Information Classication Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

ANNOUNCEMENTS

Renew Your IEEE Membership for 2012 ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124



FEBRUARY 2012 VOLUME 7 NUMBER 1 ITIFA6 (ISSN 1556-6013)

PART II OF TWO PARTS

PAPERS

System Models

Secure Communication in Stochastic Wireless NetworksPart I: Connectivity . . . . P. C. Pinto, J. Barros, and M. Z. Win 125Secure Communication in Stochastic Wireless NetworksPart II: Maximum Rate and Collusion .........................

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. C. Pinto, J. Barros, and M. Z. Win 139Security Embedding Codes ... ... ... ... ... ... ... ... ... ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . H. D. Ly, T. Liu, and Y. Blankenship 148

Watermarking and Data Hiding/EmbeddingOn the Saddle-Point Solution and the Large-Coalition Asymptotics of Fingerprinting Games .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y.-W. Huang and P. Moulin 160A Novel Data Embedding Method Using Adaptive Pixel Pair Matching . . . . . . . . . . . . . ............. W. Hong and T.-S. Chen 176Performance Analysis of a Block-Neighborhood-Based Self-Recovery Fragile Watermarking Scheme . .. . .. . .. .. .. . .. .. ..

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . H. He, F. Chen, H.-M. Tai, T. Kalker, and J. Zhang 185

Cryptographic and Related Techniques

A Probabilistic Model of Visual Cryptography Scheme With Dynamic Group ..... .. .. . S.-J. Lin and W.-H. Chung 197Reconstructing a Linear Scrambler With Improved Detection Capability and in the Presence of Noise ....................

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. X.-B. Liu, S. N. Koh, X.-W. Wu, and C.-C. Chui 208An Extended Visual Cryptography Algorithm for General Access Structures .......... .......... K.-H. Lee and P.-L. Chiu 219

Biometrics

Half-Iris Feature Extraction and Recognition Using a New Class of Biorthogonal Triplet Half-Band Filter Bank andFlexible k-out-of-n:A Postclassie r . . . . . . . . . . . . . . . . . . . . . . . . . . ... .. .. .. .. .. .. .. .. .. .. .. .. . A. D. Rahulkar and R. S. Holambe 230

A Fast Parts-Based Approach to Speaker Verication Using Boosted Slice Classie r s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....................................................................................... A. Roy, M. Magimai.-Doss, and S. Marcel 241

Multibiometric Cryptosystems Based on Feature-Level Fusion . . . . . . . . . .. . .. . . A. Nagar, K. Nandakumar, and A. K. Jain 255




Biometric Template Protection Using Universal Background Models: An Application to Online Signature .................. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . E. A. Ra, E. Maiorana, J. L. A. Castro, and P. Campisi 269

Forensic Analysis

Exposing Digital Forgeries in Ballistic Motion . .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. . V. Conotter, J. F. OBrien, and H. Farid 283

Security and Privacy Analysis

Jamming-Resistant Collaborative Broadcast Using Uncoordinated Frequency Hopping . . .. L. Xiao, H. Dai, and P. Ning 297Joint Relay and Jammer Selection for Secure Two-Way Relay Networks .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

............................................................................... J. Chen, R. Zhang, L. Song, Z. Han, and B. Jiao 310

System Design and Implementation

Architecture Support for Dynamic Integrity Checking . .. . .. . .. . .. .. .. .. .. .. .. A. K. Kanuparthi, M. Zahran, and R. Karri 321A Robust Physical Unclonable Function With Enhanced Challenge-Response Set . . . . A. Maiti, I. Kim, and P. Schaumont 333

CORRESPONDENCE

Watermarking and Data Hiding/Embedding

Fast Matrix Embedding by Matrix Extending .................... ..................... C. Wang, W. Zhang, J. Liu, and N. Yu 346

EDICSEditors Information Classication Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352

ANNOUNCEMENTS

Leading the Field Since 1884 .................................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3542012 IEEE Membership Application . ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355



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FEBRUARY 2012 VOLUME 14 NUMBER 1 ITMUF8 (ISSN 1520-9210)

SPECIAL SECTION ON OBJECT AND EVENT CLASSIFICATION IN LARGE-SCALE VIDEO COLLECTIONS

EDITORIAL

Special Section on Object and Event Classification in Large-Scale Video Collections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . C. Xu, A. Hanjalic, S. Yan, Q. Liu, and A. F. Smeaton 1

SPECIAL SECTION PAPERS

Multimodal Video Indexing and Retrieval Using Directed Information . . . . ...... X. Chen, A. O. Hero, III, and S. Savarese 3Interactive Video Indexing With Statistical Active Learning .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Z. J. Zha, M. Wang, Y. T. Zheng, Y. Yang, R. Hong, and T.-S. Chua 17Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. R. S. Feris, B. Siddiquie, J. Petterson, Y. Zhai, A. Datta, L. M. Brown, and S. Pankanti 28Sparse Ensemble Learning for Concept Detection .. . .. .. .. .. . . .. . .. . .. .. .. .. S. Tang, Y.-T. Zheng, Y. Wang, and T.-S. Chua 43Parallel Lasso for Large-Scale Video Concept Detection . . . . . ..... B. Geng, Y. Li, D. Tao, M. Wang, Z.-J. Zha, and C. Xu 55Towards Scalable Summarization of Consumer Videos Via Sparse Dictionary Selection . .. . Y. Cong, J. Yuan, and J. Luo 66

Summarizing Rushes Videos by Motion, Object, and Event Understanding ............ ............ F. Wang and C.-W. Ngo 76Semantic Model Vectors for Complex Video Event Recognition . .. . M. Merler, B. Huang, L. Xie, G. Hua, and A. Natsev 88A Matrix-Based Approach to Unsupervised Human Action Categorization ...................................................

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. P. Cui, F. Wang, L.-F. Sun, J.-W. Zhang, and S.-Q. Yang 102





REGULAR ISSUE PAPERS

Compression and Coding

Efficient Video Coding Using Legacy Algorithmic Approaches .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . J. Chen, F. Xu, Y. He, J. Villasenor, Y. Han, Y. Xu, Y. Rong, C. Reader, and J. Wen 111

Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems . .. .. .. .. . .. .. .. .. . .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M.-K. Kang and Y.-S. Ho 121

Joint Media and Multimodal ProcessingRhythm of Motion Extraction and Rhythm-Based Cross-Media Alignment for Dance Videos ..............................

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W.-T. Chu and S.-Y. Tsai 129Error Weighted Semi-Coupled Hidden Markov Model for Audio-Visual Emotion Recognition . . .. .. .. .. . .. .. .. .. . .. .. .. .. .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J.-C. Lin, C.-H. Wu, and W.-L. Wei 142

3-D Audio/Video Processing

Asymmetric Coding of Multi-View Video Plus Depth Based 3-D Video for View Rendering .................................. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . F. Shao, G. Jiang, M. Yu, K. Chen, and Y.-S. Ho 157

Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Zhou, X. Li, and A. H. Sadka 168

Parallel Architectures and Design Techniques

A Novel Large-Scale Digital Forensics Service Platform for Internet Videos .. .. H. Yin, W. Hui, H. Li, C. Lin, and W. Zhu 178

Perceptual Quality and Human Factors

Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum .. . .. .. .. .. . .. .. . .. .. ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Y. Fang, W. Lin, B.-S. Lee, C.-T. Lau, Z. Chen, and C.-W. Lin 187

Indexing, Searching, Retrieving, Query, and Archiving Databases

Hidden-Concept Driven Multilabel Image Annotation and Label Ranking .......... .......... B.-K. Bao, T. Li, and S. Yan 199

Feature Extraction and Representation

An Enhanced Bag-of-Visual Word Vector Space Model to Represent Visual Content in Athletics Images .................. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Kesorn and S. Poslad 211

Image and Video Segmentation for Interactive Services

A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters ..................................... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . P. P. Mohanta, S. K. Saha, and B. Chanda 223

EDICSEditors Classification Scheme ............................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234Information for Authors ....................................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235



JANUARY 2012 VOLUME 19 NUMBER 1 ISPLEM (ISSN 1070-9908)FEBRUARY 2012 VOLUME 19 NUMBER 2MARCH 2012 VOLUME 19 NUMBER 3

Depth EEG implantation scheme: the nail electrodes, having 10 to 15 measuring points, are inserted in the brain, the reference electrode being placed on thescalp. For more see Reference Estimation in EEG: Analysis of Equivalent Approaches, by Ranta and Madhu, p. 12.

For the January 2012 issue, see p. 1 for Table of ContentsFor the February 2012 issue, see p. 61 for Table of Contents

For the March 2012 issue, see p. 121 for Table of Contents


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JANUARY 2012 VOLUME 19 NUMBER 1 ISPLEM (ISSN 1070-9908)

A Few Words From the New Editor-in-Chief http://dx.doi.org/10.1109/LSP.2011.2179129 . . . . . . . . . . . . . . . . . . . . .... ... ... ... ... ... ... A. Scaglione 3

LETTERS


Reference Estimation in EEG: Analysis of Equivalent Approaches http://dx.doi.org/10.1109/LSP.2011.2173569 . .. . R. Ranta and N. Madhu 12


On the Equivalence of Hanning-Weighted and Overlapped Analysis Windows Using Different Window Sizeshttp://dx.doi.org/10.1109/LSP.2011.2175727 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... ... ... ... ... ... ... ... ... ... ... ... ... ... P. M. Baggenstoss 27

Diffuse Imaging: Creating Optical Images With Unfocused Time-Resolved Illumination and Sensinghttp://dx.doi.org/10.1109/LSP.2011.2174222 . . . . . . . . . . . . . . . . . . ................... A. Kirmani, H. Jeelani, V. Montazerhodjat, and V. K. Goyal 31

Image and Multidimensional Signal Processing

Sparse 2-D Canonical Correlation Analysis via Low Rank Matrix Approximation for Feature Extractionhttp://dx.doi.org/10.1109/LSP.2011.2177259 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. J. Yan, W. Zheng, X. Zhou, and Z. Zhao 51

Multimedia Signal Processing

Video Steganalysis Exploiting Motion Vector Reversion-Based Features http://dx.doi.org/10.1109/LSP.2011.2176116 . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Cao, X. Zhao, and D. Feng 35

IEEE SIGNAL PROCESSING LETTERS (ISSN 10709908) is published quarterly in print and monthly online by the Institute of Electrical and Electronics Engineers, Inc. Responsibility

for the contents rests upon the authors and not upon the IEEE, the Society/Council, or its members. IEEE Corporate Office: 3 Park Avenue, 17th Floor, New York, NY 10016-5997.

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Beamforming Amplify-and-Forward Relay Networks With Feedback Delay and Interference http://dx.doi.org/10.1109/LSP.2011.2175217 . ..................................................................... H. Phan, T. Q. Duong, M. Elkashlan, and H.-J. Zepernick 16

Stability Analysis and Power Optimization for Energy Harvesting Cooperative Networks http://dx.doi.org/10.1109/LSP.2011.2175382 . . . . . .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. I. Krikidis, T. Charalambous, and J. S. Thompson 20

Compressed Sensing With Nonlinear Analog Mapping in a Noisy Environment http://dx.doi.org/10.1109/LSP.2011.2177086 . . . . . . . . . . . . . . . . .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. A. Abou Saleh, W.-Y. Chan, and F. Alajaji 39

Optimal Distributed Kalman Filtering Fusion Algorithm Without Invertibility of Estimation Error and Sensor NoiseCovariances http://dx.doi.org/10.1109/LSP.2011.2177495 . . . . . . . . . . . . . . . . . . . . . . . . . ... .. .. .. .. .. .. .. .. .. .. .. .. J. Xu, E. Song, Y. Luo, and Y. Zhu 55

Statistical and Adaptive Signal Processing

Performance Enhancement of Subspace Detection With a Diversely Polarized Antenna http://dx.doi.org/10.1109/LSP.2011.2173485 . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J . Liu, Z.-J. Zhang, and Y. Yang 4

On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applicationshttp://dx.doi.org/10.1109/LSP.2011.2173675 . . . . . . . . . . . . . . . . . . . . . . . . . ........................... W. Chen, M. R. D. Rodrigues, and I. J. Wassell 8

Efficient Implementation of the Affine Projection Sign Algorithm http://dx.doi.org/10.1109/LSP.2011.2174784 . . . . . . . ... .. .. .. J. Ni and F. Li 24Beamspace-Domain Multichannel Nonnegative Matrix Factorization for Audio Source Separation

http://dx.doi.org/10.1109/LSP.2011.2173192 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . S. Lee, S. H. Park, and K.-M. Sung 43On Phase Transition of Compressed Sensing in the Complex Domain http://dx.doi.org/10.1109/LSP.2011.2177496 . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Yang, C. Zhang, and L. Xie 47



FEBRUARY 2012 VOLUME 19 NUMBER 2 ISPLEM (ISSN 1070-9908)

LETTERS

Audio and Electroacoustics

Cepstrum Preltering for Binaural Source Localization in Reverberant Environments .......................................... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . R. Parisi, F. Camoes, M. Scarpiniti, and A. Uncini 99


Multivariate Multiscale Entropy Analysis .. .. .. .. .. .. .. .. .. .. .. .. ............................ M. U. Ahmed and D. P. Mandic 91


Reducing Aliasing from Synthetic Audio Signals Using Polynomial Transition Regions . .. . J. Kleimola and V. Vlimki 67

Unied Training of Feature Extractor and HMM Classier for Speech Recognition .. .. .. .... .. .. .. J.-H. Im and S.-Y. Lee 111Image and Multidimensional Signal Processing

Video Super-Resolution Using Generalized Gaussian Markov Random Fields . . . . J. Chen, J. Nunez-Yanez, and A. Achim 63Blind Image Quality Assessment Without Human Training Using Latent Quality Factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .

... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. A. Mittal, G. S. Muralidhar, J. Ghosh, and A. C. Bovik 75Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization ..........................

.................................................................. Z.-Z. Yu, C.-C. Jia, W. Pang, C.-Y. Zhang, and L.-H. Zhong 95

(Contents Continued on Page 62)


for the contents rests upon the authors and not upon the IEEE, the Society/Council, or its members. IEEE Corporate Ofce: 3 Park Avenue, 17th Floor, New York, NY 10016-5997.


(rst copy only), nonmembers $223.00 per copy. (Note: Postage and handling charge not included.) Member and nonmember subscription prices available upon request. Available in

microche and microlm. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy for private use of patrons,

provided the per-copy fee indicated in the code at the bottom of the rst page is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For all other

copying,reprint, or republicationpermission, write to Copyrights and Permissions Department, IEEE Publications Administration, 445 Hoes Lane, Piscataway,NJ 08854-4141. Copyright

2012 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Periodicals Postage pending at New York, NY and at additional mailing ofces. Postmaster:






(Contents Continued from Page 61)

Sensor Array and Multichannel Signal Processing

A Novel Multiple Sparse Source Localization Using Triangular Pyramid Microphone Array . . . .. . M. Ren and Y. X. Zou 83


Outage Probability Based Power Distribution Between Data and Articial Noise for Physical Layer Security ............... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... .. N. Romero-Zurita, M. Ghogho, and D. McLernon 71

Statistical and Adaptive Signal ProcessingFast Candidate Points Selection in the LASSO Path . .. .. .. .. .. .. .. .. .. .. .. . ........................ A. Panahi and M. Viberg 79An Adaptive Derivative Free Method for Bayesian Posterior Approximation ...... .. . .. . M. Raitoharju and S. Ali-Lytty 87Solving Ill-Posed Linear Systems With Constraints on Statistical Moments .. . . S. Harasse, W. Yashiro, and A. Momose 103Blind Source Separation With Compressively Sensed Linear Mixtures . .. . .. . .. . . .. .. .. .. .. . M. Kleinsteuber and H. Shen 107A Low Complexity Iterative Algorithm for Joint Zero Diagonalization .. . .. .. .. . .. .. .. .. .. .. .. W.-T. Zhang and S.-T. Lou 115



MARCH 2012 VOLUME 19 NUMBER 3 ISPLEM (ISSN 1070-9908)

LETTERS

Audio and Electroacoustics

Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis .. .. .. . .. .. ..... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... J. Pekonen, J. Nam, J. O. Smith, and V. Vlimki 159


Generic Mixed-Radix FFT Pruning ............................................ L. Wang, X. Zhou, G. E. Sobelman, and R. Liu 167

Image and Multidimensional Signal Processing

Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color Histograms . . . . . . . ......... W. Kim and C. Kim 127Regularized Transfer Boosting for Face Detection Across Spectrum ......... ......... Z. Zhang, D. Yi, Z. Lei, and S. Z. Li 131Human Interaction Recognition Based on Transformation of Spatial Semantics ....... ....... B. Jin, W. Hu, and H. Wang 139Image Classication Based on pLSA Fusing Spatial Relationships Between Topics . . . . .. . .. B. Jin, W. Hu, and H. Wang 154

Multimedia Signal Processing

Detecting Image Forgery Using Perspective Constraints ............. ............. H. Yao, S. Wang, Y. Zhao, and X. Zhang 123

(Contents Continued on Page 122)


for the contents rests upon the authors and not upon the IEEE, the Society/Council, or its members. IEEE Corporate Ofce: 3 Park Avenue, 17th Floor, New York, NY 10016-5997.


(rst copy only), nonmembers $223.00 per copy. (Note: Postage and handling charge not included.) Member and nonmember subscription prices available upon request. Available in

microche and microlm. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy for private use of patrons,

provided the per-copy fee indicated in the code at the bottom of the rst page is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For all other

copying,reprint, or republicationpermission, write to Copyrights and Permissions Department, IEEE Publications Administration, 445 Hoes Lane, Piscataway,NJ 08854-4141. Copyright

2012 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Periodicals Postage pending at New York, NY and at additional mailing ofces. Postmaster:





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(Contents Continued from Page 121)

Sensor Array and Multichannel Signal Processing

DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted -Norm Penalty . . . .... . X. Xu, X. Wei, and Z. Ye 155


A New Performance Measure Using -Set Correlation for Compressed Sensing Matrices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... . S. Hong, H. Park, B. Shin, J.-S. No, and H. Chung 143

Iterative Interference Cancellation for OFDM Signals With Blanking Nonlinearity in Impulsive Noise Channels ........

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C .-H . Yih 147

Speech Processing

Regularized All-Pole Models for Speaker Verication Under Noisy Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... C. Hanili, T. Kinnunen, F. Erta, R. Saeidi, J. Pohjalainen, and P. Alku 163

Statistical and Adaptive Signal Processing

Efcient Kernel Computation for Volterra Filter Structure Evaluation .................. J. H. M. Goulart and P. M. S. Burt 135

Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171EDICSEditors Information Classication Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172

www.signalprocessingsociety.org [21] FEBRUARY 2012



FEBRUARY 2012 VOLUME 6 NUMBER 1 IJSTGY (ISSN 1932-4553)

ISSUEONROBUSTMEASURESANDTESTSUSINGSPARSE DATA FORDETECTION ANDESTIMATION

Nonparametric Missing Sample Spectral Analysis and Its Applications to Interrupted SAR . .. .. .. .. . .. . .. .. .. .. . .. .. .. .. . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Vu, L. Xu, M. Xue, and J. Li 1

Compressive Sensing Based High-Resolution Channel Estimation for OFDM System .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... J. Meng, W. Yin, Y. Li, N. T. Nguyen, and Z. Han 15

Second-Order Cyclostationarity of Mobile WiMAX and LTE OFDM Signals and Application to Spectrum Awareness inCognitive Radio Systems ............... .. .. .. . .. . .. .. . A. Al-Habashna, O. A. Dobre, R. Venkatesan, and D. C. Popescu 26

Performance Bounds for Sparsity Pattern Recovery With Quantized Noisy Random Projections .. .. .. . .. .. .. .. . .. .. .. .. . ..... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... T. Wimalajeewa and P. K. Varshney 43

Cyclic Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .............................................................................................. Z. Tian, Y. Tafesse, and B. M. Sadler 58

Information for Authors ....................................................... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70



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