Master of Technology (Electronics & Communication …nitkkr.ac.in/docs/Annexure 3.pdf ·...
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DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING
NATIONAL INSTITUTE OF TECHNOLOGY, KURUKSHETA
Master of Technology (Electronics & Communication Engineering)
Proposed Course Structure for Two-Year M.Tech. ECE program
Semester-I
Subject Code Course Title L-T-P Credits
ECE-501T Digital Signal Processing 3-0-0 3
ECE-503T Digital Communication 3-0-0 3
ECE-505T Wireless Networks 3-0-0 3
Elective-I 3-0-0 3
Elective-II 3-0-0 3
ECE-507P Seminar 0-0-2 1
ECE-509P Communication Lab-I 0-0-2 1
ECE-511P Communication Lab-II 0-0-2 1
21 18
Weight age for Theory Courses:
During Semester Evaluation Weightage – 50%
End Semester Examination Weightage - 50%
Weightage for Lab. Courses:
During Semester Evaluation Weightage -60%
End Semester Examination Weightage- 40%
List of Electives:
1. ECE-513T Image Processing
2. ECE-515T Microwave Theory and Devices
3. ECE-517T Telecommunication Switching
4. ECE-519T Selected Topics in Communication Engg.
5. ECE-521T Statistical Signal Processing
6. ECE-523T Nuro-Fuzzy Systems
7. ECE-525T Satellite and Space Communication
8. ECE-527T Multimedia Systems
9. ECE-529T Data Compression
10. ECE-531T Statistical Models
11. ECE-533T Computer Network
Semester-II
Subject
Code
Course Title L-T-P Credits
ECE-502T Detection and Estimation 3-0-0 3
ECE-504T System Modeling and Simulation 3-0-0 3
Elective-I 3-0-0 3
Elective-II 3-0-0 3
Elective-III 3-0-0 3
ECE-506P Seminar 0-0-2 1
ECE-508P Minor Project 0-0-4 2
21 18
Weight age for Theory Courses:
During Semester Evaluation Weightage – 50%
End Semester Examination Weightage - 50%
Weight age for Lab. Courses:
During Semester Evaluation Weightage -60%
End Semester Examination Weightage- 40%
List of Electives:
1. ECE-510T Wireless Sensor Networks
2. ECE-512T Information and Network Security
3. ECE-514T Ad-Hoc Networks
4. ECE-516T Mobile Computing
5. ECE-518T Bio-Medical Signal Processing
6. ECE-520T Speech Processing
7. ECE-522T Digital Signal Processors and Applications
8. ECE-524T Adaptive Signal Processing
9. ECE-526T Modern Coding Theory
10. ECE-528T MIMO Systems
11. ECE-530T Digital Filter Design
12. ECE-532T Digital Video Processing
13. ECE-534T Research Methodology
Semester-III
Subject
Code
Course Title L-T-P Credits
ECE-601P Prepatory work for Dissertation 0-0-20 20
20
Semester –IV
Subject
Code
Course Title L-T-P Credits
ECE-602P Dissertation 0-0-32 16
ECE- 501T (DIGITAL SIGNAL PROCESSING)
UNIT-1 DFT & FFT
Frequency-Domain Sampling- The Discrete Fourier Transform: Frequency-Domain
sampling and reconstruction of Discrete-Time Signals, Discrete Fourier Transform, DFT as a
linear transformation, Relationship of the DFT to other transforms. Properties of the , Use of the
DFT in linear filtering, Filtering of long data sequences. The Discrete Cosine Transform, FFT
Algorithms, Divide-and-conquer approach to computation of the DFT, Radix-2 , Radix-4, and
Split-Radix FFT algorithms. Applications of FFT Algorithms.
UNIT-2 Filter Structures & Design
Direct-form Cascade-form Frequency-sampling and Lattice structures for FIR filters.
Direct-form, Signal flow graphs and transposed structures for IIR filters. Cascade and Parallel
form structures, Lattice and lattice-ladder structures for IIR systems.
Causality and its implications, Characteristics of practical frequency selective filters. Symmetric
and anti-symmetric FIR filters, Design of linear-phase FIR filters using windows, by frequency-
sampling method. Design of optimum equiripple linear-phase FIR filters.
Design of IIR Filters from Analog Filters, IIR filter design by approximation of derivatives,
bilinear transformation, and impulse invariance. Characteristics of commonly used analog filters.
UNIT-3 Multirate Digital Signal Processing
Introduction, Decimation by a factor D, Interpolation by a factor I, Sampling rate conversion by
a rational factor I/D. Polyphase filter structures, Design of phase shifters, Interfacing of digital
systems with different sampling rates, Implementation of narrowband lowpass filters, Subband
coding of speech signals. Two-Channel and M-Channel QMF Banks Elimination of aliasing,
Condition for perfect reconstruction, Polyphase form of the QMF bank.
UNIT-4 Linear Prediction and Adaptive Filters
Rational power spectra, Relationships between the filter parameters and the autocorrelation
sequence. Forward linear prediction, backward linear prediction, Optimum reflection coefficients
for the lattice forward and backward predictors, Relationship of an AR process to linear
prediction. AR lattice structure, ARMA processes and lattice-ladder filters.
Wiener Filters for Filtering and Prediction, Applications of Adaptive Filters, Minimum mean-
square-error criterion, LMS algorithm, Related stochastic gradient algorithms.
Note: Eight questions will be set and the students will be asked to attempt any five questions.
REFERENCES:
1. Roman Kuc: Introduction to Digital Signal Processing. MGH
2. JG Proakis: Digital Signal Processing PHI.
3. Oppenheim Schafer: Discrete Time Signal Processing. PHI
4. Simon Haykin, Adaptive Filter Theory, PTH
ECE-503T (DIGITAL COMMUNICATION SYSTEMS)
Unit-1
Characterization of Communication Signals & Systems
Representation of Band pass Signal and System: Response of a band pass system to band pass signal,
Representation of band pass stationary stochastic processes.
Representation of digitally modulated signals: memory less modulation methods, Linear modulation
with memory, Nonlinear modulation methods with memory.
Spectral Characteristics of Digitally Modulated Signals: Power spectra of Linearly modulated
Signals, CPFSK and CPM Signals, Modulated Signals with memory.
Unit-2
Band pass Modulation & Demodulation
Digital Band Pass Modulation techniques, Detection of signals in Gaussian noise,
Coherent Detection: Coherent Detection of PSK, MPSK and FSK and its error performance, Sampled
Matched Filter
Non Coherent detection: Detection of DPSK, FSK, Binary Differential PSK and their error
performance, required tone spacing for non coherent orthogonal FSK. Comparison of bit error
performance of various modulation techniques.
M-ary Signaling & Performance, Symbol Error Performance for M-ary Systems; MPSK and MFSK,
Bit Error probability versus symbol error probability.
Unit-3
Digital Signaling Over a Channel With Intersymbol Interference
Signal design for band limited channels. Communication through Band limited Linear Filter
Channels: optimum demodulation for ISI and additive white Gaussian noise, Linear equalization:
Peak distortion Criterion, Mean Square Error Criterion, Performance Characteristics of MSE
Equalizer, Decision-Feedback equalization: Coefficient Optimization, Performance Characteristics
Unit-4
Spread Spectrum Techniques:
Spread Spectrum Overview: Attributes of SS Systems, Spreading Techniques, Model for DS SS
Interference Rejection, Pseudonoise Sequences, DSSS Systems: Processing Gain and Performance,
Frequency Hopping Systems: FH with diversity, Fast hopping versus Slow hopping, FFH
Demodulator, Processing Gain, Synchronization: Acquition and Tracking, Jamming Considerations
and Applications.
REFERENCES:
1. Simon Haykin: Communication System, Wiley Eastern Limited. .
2. J.Dass, SK Mullick & PK Chatterjee: Principle of Digital Communication, Wiley Eastern
Limited.
3. Martin S. Roden :Digital and Data Communication System P.H.Inc, London, .
4. Viterbi, A.J. and J.K. Omura :Principles of Digital Communication, Mc-Graw Hill Book
Company, New York.
5. Bernard Sklar: Digital Communications, Fundamentals & Applications, Pearson
ECE-505T (WIRELESS NETWORKS)
Unit-I:
Introduction to wireless, cellular, and PCS mobile radio, wired transmission techniques, wireless
modems, power efficiency, diversity techniques for mobile wireless radio systems-combining
and switching methods, performance improvement, access methods-TDMA, CDMA, CSMA,
Unit-II:
Radio propagation and system concepts, propagation characteristics, models of multipath faded
radio channels, mobile radio networks, propagation effects, wireless network planning,
topologies, capacity expansion, TDMA, CDMA techniques
UNIT-III:
GSM systems, WCDMA, mobile satellite communication, integration of GEO,LEO, and MEO
satellite and terrestrial mobile systems, 3G, universal mobile telecommunication systems,
IMT2000, 4G-design goals, applications, challenges, LTE, Wi-Fi, IEEE802.11 wireless LAN
standards, WiMAX, IEEE 802.16 Broadband wireless access standards, Bluetooth and PANs
UNIT-IV
Wireless geolocation technologies, Geolocation systems, architecture, geolocation standards for
E.911 service, applications, recent advances in wireless networks, wireless ultra wideband
communication
References:
1. Kaveh Pahlavan, Prashant Krisnamoorthy, " Principles of wireless networks, a unified
approach", Pearson Education
2. Dr. Kamilo Feher, " Wireless Digital communication, modulation and spread spectrum
applications", PHI
3. Theodore S. Rappaport, " Wireless Communication, Principles and Practice", 2nd
edition, Pearson
ECE-513T (DIGITAL IMAGE PROCESSING)
UNIT – I:
Introduction: The Origin of Digital Image Processing, Problems and Applications, Fundamental steps in image
processing, Components of an image processing system.
Two dimensional systems and mathematical preliminaries: Notations and definitions, Unitary Transforms and
their properties. One Dimensional and Two Dimensional DFT, Cosine and Sine Transforms. Hadamard, Slant, Harr
and KL, Transforms and their properties, Comparison of various transforms.
Image Perception: Image models, sampling & quantization, neighbors of a pixel, connectivity, labeling of
connected components. Temporal properties of vision, Distance measures, stereo imaging.
UNIT – II:
Intensity Transformation and Spatial Filtering: Basic intensity transformation functions, Histogram
processing, spatial filters, homomorphic filtering, generation of spatial marks, Fuzzy techniques for Intensity
Transformation and Spatial Filtering.
Image Restoration and Reconstruction: Noise models, Restoration in the presence of Noise only, Frequency
domain filtering, Inverse filtering, Wiener filtering, Geometric mean filtering, Image reconstruction from
projections.
Image Compression: Redundancy models, error free compression, Lossy compression, Some basic
compression methods, Image compression standards.
UNIT – III:
Color Image Processing: Color Models, Pseudocolor Image Processing, Bacics of full color image
processing, color transformations, segmentation, smoothing and sharpening, Noise in color Images..
Morphological Image Processing: Erosion, Dialation, Opening, Closing, Some basic morphological
algorithms, Gray scale morphology.
UNIT – IV:
Image Segmentation: Detection of Discontinuity, Edge detection, Boundary detection, Thresholding,
Regional oriented segmentation use of motion in segmentation.
Representation and Description: Representation, Regional descriptors, Boundary descriptors, Image
analysis, Pattern and their classes, Decision theoretical methods, Structural methods, Interpretation
REFERENCES :
1 Gonzalez and Woods, Image Processing, Addison Wesley & Sons.
2 Anil Jain, Digital Image Processing , PHI.
ECE-515T (MICROWAVE THEORY AND DEVICES)
Refreshing of basics of electromagnetic theory and microwaves
Review of waveguides, microstip, striplines, microwave components and circuits
Introduction to microwave transistors and diodes, transferred electron and avalanche transit time
devices, linear beam and crossed field tubes, monolithic microwave integrated circuits
MICROWAVE AMPLIFIER DESIGN : Two-Port Power Gains, Stability, Single stage and
broadband amplifier design, power amplifiers
MICROWAVE OSCILLATORS AND MIXERS: Transistor Oscillators, Dielectric Resonator
Oscillators, Oscillator Phase Noise, Representation of Phase Noise, Leeson's Model for
Oscillator Phase Noise, Frequency Multipliers, Mixer Characteristics, Single-Ended Diode
Mixer, Single-Ended FET Mixer, Balanced Mixer, Image Reject Mixer, Other Mixers
INTRODUCTION TO MICROWAVE SYSTEMS: Wireless Communication Systems, Radar
Systems, Radiometer Systems, Microwave Propagation, Other Applications
Biological Effects and Safety
REFERENCES:
1. David M. Pozar, Microwave Engineering, John Wiley and sons Inc.
2. Samuel Y. Liao, Microwave Devices and Circuits, Prentice-Hall of India.
3. Das, Annapurna & Sisir K. Das, Microwave Engineering, Tata McGraw-Hill.
ECE-517T (TELECOMMUNICATION SWITCHING SYSTEM)
Unit 1
Introduction: Evolution of Telecommunication switching system, Basics of a switching
system, Classification of switching system, Strowger switching system, Crossbar
switching. Basic Tele-communication equipments : Telephone handset, Hybrid circuit,
Echo suppressors and cancellers, PCM coders, Modems and Relays.
Unit 2
Electronic Switching : Space division switching, Stored program control switching,
Basic call processing , Level 1 ,2 & 3 processing , Software architecture , Application
software, Enhanced services, Time division switching : Time division space switching,
Time division time switching, time multiplexed space switching, Time multiplexed time
switching, combination switching, Switching networks: two-stage network, three- stage
networks, n-stage networks.
Unit 3 Traffic : Concept of telecommunication traffic, Grade of Service, Blocking probability,
Modeling switching systems, Blocking models and delay systems.
Signalling System: Signalling techniques, In channel signalling , Common channel
signalling, SS7 signalling protocol, SS7 protocol architecture.
Unit 4
Telephone Networks: Introduction, Subscriber loops systems, switching hierarchy,
Transmission plan and Numbering plan.
Telephone Network Protocol: Protocol stack, Digital transmission hierarchy,
SONET/SDH.
ATM Networks: The Asynchronous Transfer Mode, ATM switching, ATM switches ,
ATM applications.
Reference:
1 Telecommunication Switching Systems and Networks, Thiagarajan Viswanathan,
Prentice Hall of India Pvt. Ltd, 2007.
2 An Engineering Approach to Computer Networking, Keshav S, Addison Wesley,
1998.
3 Telecommunication Switching & Networks (2nd Edition), P. Gnanasivam, New Age
International publishers.
4 Telecommunications Switching, Traffic and Networks, J. E. Flood, Pearson
Education- 2006.
5 Electronic switching, Sapna Katiyar, S. K. Kataria & Sons .
6 Telecommunication & Computer (3rd Edition), Martin, PHI.
7 Digital Telephony, John C Bellamy, John Wiley (International Student Edition
ECE-519T (SELECTED TOPICS IN COMMUNICATION ENGINEERING)
Unit 1: Background and quick review of wireless channels: propagation losses, multipath
propagation, time-variant channels, Time domain equalization (MLSE, DFE,
other linear equalization techniques), Frequency domain equalization
Orthogonality and interference in communication systems.
Unit 2: Multicarrier systems and orthogonal frequency division multiplexing (OFDM):
Introduction to OFDM and Multi-carrier Modulation, OFDM system model,
OFDM system design issues, Advantages of OFDM, Applications of OFDM,
Critical Problems in OFDM: OFDM impairments and their effects in the system,
and handling these impairments.
Unit 3: Coherent and Differential Detection of OFDM Signals: Coherent Detection-
two dimensional channel estimators, one dimensional channel estimators, special
training symbols, and decision directed channel estimator. Differential Detection-
Differential Detection in time domain and Differential Detection in frequency
domain.
Unit 4: The peak power problem in OFDM Systems: Introduction, distribution of
peak to average power ratio, PAP reduction schemes- clipping and peak
windowing, PAP reduction codes.
Unit5: OFDMA: Introduction, OFDMA versus SC-FDMA, Multicarrier CDMA,
Interference in OFDM (A) – self interference, narrowband interference, co-
channel interference, adjacent channel interference, inter-modulation products,
Scheduling in OFDMA. OFDM based standards (LTE, WiMAX, WiFi, 802.22,
multiband UWB).
References: 1. Richard van and Ramjee Prasad - OFDM for wireless multimedia communications,
Artech House Boston, Londan.
2. Marc Engels - Wireless OFDM systems (How to make them work?), Kluwer
Academic Press.
3. Ahmad R. S. Bahai, B. R. Saltzberg, and Mustafa Ergen - Multi-carrier Digital
Communications (Theory and Applications of OFDM), Springer.
4. L. J. Cimini, “Analysis and simulation of a digital mobile channel using orthogonal
frequency division multiplexing,” IEEE Trans. Commun., vol. COM-33, pp. 665–
675, July 1985.
5. M. Russell and G. L. Stuber, “Interchannel interference analysis of OFDM in a
mobile environment,” in IEEE 45th Vehicular Technology Conf., July 1995, 1996,
pp. 820–824.
ECE-521T (STATISTICAL SIGNAL PROCESSING)
UNIT 1: Random Processes
Introduction, Random variables, Averages, Joint distributions, Joint moments,
Correlation, covariance, Linear Mean Square Estimation, Parameter Estimation, Random
Processes, Gaussian Processes , stationary Processes, Autocorrelation and Auto
Covariance matrices, Ergodicity, Filtering Random processes, Spectral Factorization,
MA, AR and ARMA Processes, Harmonic Processes
UNIT 2: Signal Modeling
Least Squares, Pade approximation and Prony’s methods, Finite data records,
Autocorrelation and Covariance methods, Stochastic models, Levinson-Durbin
Algorithm
UNIT 3: Wiener and Kalman Filtering
The Wiener filter, filtering , linear prediction, noise cancellation. Lattice structure for FIR
Wiener filter, causal and non causal IIR Wiener filters, Kalman filters. Wold’s
decomposition
UNIT 4: Spectrum Estimation
Non parametric methods and their performance comparison, minimum variance spectrum
estimation, the maximum entropy method, frequency estimation, principal components
spectrum estimation
References:
Monson H Hayes, Statistical Digital Signal Processing and Modelling Wiley
T.Chonavel, Statistical Signal Processing,Springer
ECE-523T (NEURO FUZZY SYSTEMS)
Unit I:
Introduction to Neural Networks Introduction: The Human Brain and Biological Neuron, Artificial Neuron Models, Types of
Neuron Activation Function, ANN Architectures Characteristics of ANN, Mc Culloch-Pitts
Model, Historical Developments, Potential Applications of ANN.
UNIT 2
Essentials of Artificial Neural Networks: Classification Taxonomy of ANN – Connectivity, Learning Strategy (Supervised,
Unsupervised, Reinforcement), Learning Rules. Back Propagation Algorithm
Feed Forward Neural Networks: Single Layer and Multilayer. Radial Basis function
networks(RBFN), Self organizing feature map.
Unit-3
Introduction to Fuzzy Systems:
Introduction: Fuzzy and Neurofuzzy system and their merits. Introduction to Architecture of a
fuzzy system. Fuzzzification Rule Base, Inference engine, Defuzzification.
Fuzzy Mathematics: Fuzzy sets & operation of fuzzy sets. Properties of fuzzy sets. Fuzzy
relations. Fuzzy graphs & Fuzzy Arithmetic.
Unit-4
Architecture & Design Issues
Fuzzification. Fuzzy Rule based Models. Implication process, Defuzzification Techniques.
Fuzzy Logic in Control Applications: Selection of Design Methodology, Technical Design
objectives, Mamdani & Sugeno – Takagi Architectures.
Adaptive Neuro Fuzzy Interference Systems (ANFIS), Functional equivalence between
RBFN and FIS
REFERENCES:
1. S. Rajasekharan and G. A. Vijayalakshmi pai, “Neural Networks, Fuzzy logic, Genetic
algorithms: synthesis and applications”, PHI Publication, 2004.
2. Simon Haykin, “Neural Networks- A comprehensive foundation”, Pearson Education,
2001.
3. KLIR & YAUN : Fuzzy Sets and Fuzzy Logic, Prentice Hall of India
4. Jang, Sun, Mizutani, “ Neuro- Fuzzy and soft computing”, PHI.
5. T.J.Ross,” Fuzzy Logic with Engineering Applications”, McGraw Hill.
ECE-525T (SATELLITE AND SPACE COMMUNICATION)
Unit-1, Introduction: Satellite communication, Brief History.
Orbits of satellite: Low, medium and Geo synchronous main characteristics, Angle
period, Returning period, Angle of Evaluation, Propagation Delay, Orbital Spacing.
Unit-2, Satellite Links: Delay transponders, Earth Stations, Antennas and Earth
coverage, Altitude and eclipses.
Earth space propagation effects: Frequency window, Free space loss, Atmospheric
absorption, Rainfall Attenuation, Lonospheric scintillation, Telemetry, Tracking and
command of satellites.
Unit-3, Detection: QPSK offset QPSK and MSK. Coherent and non-coherent detection,
Error rate performance.
Unit-4, Synchronization: Principle and techniques, Multiple Access Techniques,
FDMA, SPADE system, TDMA system, concept and configuration, system timing
frames format, SSMA-Basu Principles, VSAT, Random access, space communication,
link design description of operational in TELSAT and INSAT system.
REFERENCES:
1. J. Martin: Communication Satellite System ,PH Englewood.
2. D.C.Aggarwal :Satellite Communication,Khanna Publishers.
3. Tri Ha Digital Satellite Communication Tata Mc Graw Hill.
4. Harry and Vam Trees: Satellite Communication ,IEEE Proceedings, 1979.
ECE-527T (MULTI MEDIA SYSTEM)
Unit I : Concept of Multimedia, Emerging Application, Multimedia Systems and
Appliances. Distributed Multimedia System, Synchronization, Orchestration and QoS
Architecture standards.
Unit II : Digital audio representation and processing- Audio in computer applications, its
digital representation, transmission and digital processing ,speech recognition and
generation.
Digital Video and image Compression-Video and Image Compression Techniques and
standardization of algorithms, JPEG, MPEG , DVI Technology.
Unit III: Multimedia Information Systems-Workstation OS, New OS support, Real Time
Mach , Multimedia system service architecture, Media Stream Proocol, service and
window system, client control of continuous media, Hyperapplications. Multimedia
Information System, File System, Data Models.
Unit IV : Multimedia Comunication System-Public Network Services and N/W
Protocols, Quick time Movie File (QMF), Format, OMFI , MHEG, Format function Real
time Interchange , Track Model and Object Model Teleconferencing systems, Shared
Amlication Architectures, Embeded
Distributed Objects, Multimedia Conferencing Architecture, Architecture of Team
workstation.Multimedia and Internet .The internet, Client Server Technology ,
Communication Protocols, Internet Addressing ,WWW,HTML, Web Authoriting, Web
page browsers and development , bandwidth and applications considerations, Design
Considerations for Web pages , Accessing Content on internet.
References:
1. John F. Koegel Bufod: Multimedia Systems, Addison Wesley, Edition.
2. David Hillman: Multimedia Technology and application , Galgotia Publications
ECE-529T (DATA COMPRESSION)
UNIT 1
Introduction & Text Compression
Introduction: Brief history of data compression applications, Overview of information theory
and redundancy, Human audio - visual systems, Taxonomy of compression techniques. Overview
of source coding, source models, scalar quantization theory, rate distribution theory, vector
quantization. Evaluation techniques- error analysis and methodologies.
Text Compression: Compact techniques-Huffmann coding-arithmetic coding-Shannon-Fano
coding and dictionary techniques-LZW family algorithms. Entropy measures of performance-
Quality measures.
UNIT 2
Audio Compression Audio compression techniques, filtering, basic subband coding, application to speech coding,
G.722, application to audio coding, MPEG audio, progressive encoding for audio silence
compression.
UNIT 3
Image Compression Predictive techniques-PCM, DPCM, DM. Contour based compression- quad trees, EPIC, SPIHT,
Transform coding, JPEG, JPEG-2000
UNIT 4
Video Compression Video signal representation, Video compression techniques-MPEG, Motion estimation
techniques- H.261. Overview of Wavelet based compression and DVI technology, Motion video
compression.
Reference :
1. Mark Nelson, “Data compression book”, BPB Publishers, New Delhi,1998.
2. Peter D. Symes – “Video compression” , McGrawHill,1998.
3. N.Jayant – “Signal compression - coding of Speech, Audio, Text, Image and
Video”, world scientific, 1997.
4. Sayood Khaleed, “Introduction to data compression”, Morgan
Kauffman, London,1995
5. Watkinson, J. “Compression in video and audio”, Focal press, London. 1995
6. Jan Vozer, "Video compression for multimedia”, AP profes, NewYork, 1995
ECE- 531T (STATISTICAL MODELS)
Unit-1, Random Variables: Probability Bay’s rule, Distribution function, Discrete random vectors,
different distributions, jointly distributed random variables, order statistics, Distribution of sums,
expectations, moments, transform methods mean time to failure, Inequalities and limit theorems, Mixture
distribution, Conditional expectations, Imperfect fault coverage & reliability, Random Sums.
Unit-2, Stochastic Process: Classification Bernoulli process, Poisson process, Renewal Processes, available
analysis, Random incidence, Renewal model of program behavior.
Unit-3, MarkovChains: n-step transition probabilities, limiting distribution, Distribution of times between
state changes, Irreducible finite chains with a periodic states, The M/g/I, Queuing System Discrete
parameter, Birth Death Processes, Markov chains with absorbing states. Birth and death Processes, Non
Birth Death Processes.
Unit-4, Network of Queues: Open and close queuing networks, Non exponential service time distributions
and multiple job type, non-product form networks.
Correlation & Regression: Introduction, Least squares curve fitting. Coefficient of
determination, Confidence of intervals in linear regression, correlation analysis, Non-
linear regression, Analysis of variance.
REFERENCES:
1. K.S. Trivedi :Probability and Statistics, PHI.
2. Antonio Probability & Stochastic Processes
ECE-533T (COMPUTER NETWORKS)
Unit-I
Interconnections, packet switching, virtual circuits, internetworking, bridges, switches,
routers, gateways, address structure, area routing hierarchy, address classes, IPv6
Layered network architecture-OSI and TCP/IP reference models, data link layer-framing
and error detection, Retransmission algorithms
Unit-II
Carrier sensing-CSMA, slotted aloha, Pseudo-Bayesian stabilization for CSMA aloha,
CSMA un-slotted aloha, FCFS splitting algorithms for CSMA
Multiaccess reservations- Satellite reservation systems, LAN-CSMA/CD, Ethernet,
slotted CSMA/CD, unslotted CSMA/CD, High speed LAN-distributed queue dual bus
Unit-III
Routing, shortest path routing, distributed routing algorithms, optimal routing, Virtual
path routing-on demand routing, minimum interference routing, multiprotocol label
switching, routing of stream type sessions-quality of service routing, flow control-
window and credit schemes, rate based schemes
Unit-IV
Networks of queues- closed networks, open networks, estimating parameters, and
distributions, computational methods for queuing network solutions, Security issues in
Internet architecture
References 1. Bertsekas, Dimitri, Robert Gallager, “ Data Networks”, 2nd edition, Upper Saddle river,
NJ Prentice Hall
2.. Andrew S. Tanenbaum, “Computer Networks. 4th Ed., Pearson Education Asia
ECE-502T (THEORY OF DETECTION AND ESTIMATION)
Unit-1 Estimation Theory: Bayesian Estimation-Minimum mean square-error(MMSE),
Linear MMSE, Hilbert Space for Random Variables, Minimum Probability of Error( (MAP);
Signals-Stationarity and Power Spectral Density, Weiner filter, Kalman filter.
Unit-2 Non-Bayesian Estimation-Sufficient Statistic, Bias, Minimum variance unbiased
estimator, Cramer-Rao bound, Maximum Likelihood, Efficient estimator.
Unit-3 Detection Theory: Non-Bayesian Detection-Hypothesis test, Neyman-Person lemma,
Likelihood ratio test, Kullback-Leibler divergence, Matched Filter, Sequential Test. Unit-4 Methods of dealing with Complexity-Expectation maximization, Hidden Markov
model, Graphical models.
Main Text: Fundamentals of Statistical Signal Processing- Estimation Theory (Vol. 1)
Steven M. Kay, Prenceton Hall, 1993.
REFERENCES:
1. Fundamentals of Statistical Signal Processing-Detection Theory (Vol.2) Steven M.
Kay, Prenceton Hall, 1998.
2. Linear Estimation-Kailath, Sayed, and Hassibi, Princeton Hall, 2002.
3. An Introduction to Signal Detection and Estimation H. Vincent Poor, 2nd edition,
Springer, 1998.
4. Elements of Information Theory Cover and Thomas, 2nd Edition, Wiley, 2006.
ECE-504T (SYSTEM MODELING AND SIMULATION)
UNIT-I:
Systems, models, simulation, discrete event simulation, steps in a simulation study,
review of random variables, stochastic processes, means, variance , correlation,
confidence intervals, hypothesis tests
UNIT-II:
Model validity and credibility, statistical procedures- inspection approach, confidence
approach, time series approach, selection of input probability distribution, continuous
distribution, discrete distribution, empirical distribution, assessing sample independence,
histograms, quantile summaries, estimation of parameters, goodness of fit tests,
multivariate distributions
UNIT-III:
Random numbers generators- linear congruential generators, composites generators,
testing random number generators- empirical tests, theoretical tests, generating random
variates-inverse transform, convolution, acceptance- rejection, generating- continuous
random variates, discrete random variates, random vectors, correlated random variates
and stochastic processes
UNIT-IV:
Simulation of queuing systems- Poisson arrival processes, exponential distribution,
service times, normal distribution, queuing disciplines, simulation of single and two
server queue application of queuing theory in computer systems, introduction to
simulation languages-GPSS, SIMSCRIPT
References
1. Averill M Law, " Simulation Modeling and Analysis" 4th Edition MGH
2. Jerry Banks, John S Carson, Barry L Nelson, David M Nicol, " Discrete-event system
simulation" 3rd Edition
ECE-510T (WIRELESS SENSOR NETWORKS)
Unit-I:
Introduction, data acquisition, classification, sensor platforms, standards, applications,
singlehop, multi-hop, design constraints, energy modeling, Distributed estimation,
multisensorestimation, estimation theory for wireless sensor networks
UNIT-II:,
Routing-challenges, flooding, gossip protocol, sensor protocol for information via
negotiation, SPIN-EC, hierarchical routing, LEACH, PEGASIS, TEEN, geographic
routing protocols-MECN, greedy forwarding, distance based blacklisting, PRR based
routing, PRADA
UNIT-III:
Data aggregation techniques-energy efficiency, network lifetime, data accuracy, flat
networks,hierarchical networks, cluster based networks, chain based data aggregation,
power efficient data gathering protocol for sensor information systems, tree based data
aggregation, energy aware data aggregation tree, grid based data aggregation, QoS aware
protocols, trade-offs in data aggregation protocols-capacity-energy tradeoff
UNIT-IV:
Localization: ranging techniques-received signal strength, time of arrival, time difference
arrival, angle of arrival, range based localization protocols-, triangulation, multilateration,
ad-hoc positioning system, range free localization-approximate point in triangualiton,
introduction to security issues in WSNs
References
1. W. Dargie, C. Poellabauer, " Fundamentals of wireless sensor networks: Theory and
practice",
2. I.F. Akyildiz, M.C. Vuran, " Wireless sensor networks",
ECE-512T (INFORMATION AND NETWORK SECURITY)
Information Security
Unit-1 Introduction to General security concepts, basic terminologies, issues, network
and security models. Symmetric and asymmetric cryptography, data encryption standard
(DES), international data encryption algorithm (IDEA), advanced encryption standard
(AES), Key management and Distribution, Random Number Generation, RSA
Algorithm, Diffie Hellman Key Exchange, Elliptic Curve Cryptography.
Unit-2 Message Authentication and Hash Functions: Authentication Requirements,
Authentication Functions, weak and strong authentication, Zero knowledge protocol,
Message Authentication Codes, Hash Functions, Security of Hash Functions and MACs,
Hash and MAC Algorithms, Message Digest Algorithm, Secure Hash Algorithm, Digital
Signatures.
Network Security
Unit-3 Security standards and protocols, Kerberos protocol: public key infrastructure
(PKI); security protocols for different network layers, secure IP protocol (IPsec), Secure
Socket Layer (SSL) and transport layer security (TLS), Protocols for E-Commerce.
Unit-4 Web and Email Security Important security issues with the Web (both the server
and the client sides), building and maintaining secure web sites.
Risks and issues associated with the uses of electronic email, privacy, message integrity
and authenticity, technologies for secure email systems, PEM (Privacy Enhanced Email),
S/MIME, PGP secure mail protocol. Wireless network Security, important security
issues of 802.11 standard, WEP protocol.
Unit-5 Security Systems and Management Issues, Security systems in the real world,
firewalls, security in software systems, main security features of some well-known
systems and their weaknesses. Security policies, management strategies and policies for
enterprise information security, management issues relevant to information security.
References:
1. Cryptography and Network Security by Behrouz A. Forouzan, TATA McGraw hill.
2. Charlie Kaufman, Radia Perlman, Mike Specincer: Network Security – private communication in
a public world, second edition, Prentice Hall, 2002.
3. Newman, Robert C: Enterprise Security, 2003/1st Ed., Prentice Hall.
4. Cryptography and Network Security, William Stalling, Prentice hall
ECE- 514T (AD-HOC NETWORKS)
Unit 1
Ad-Hoc Networks: Introduction, Origin of Ad-Hoc networks, Issues in Ad-Hoc wireless
networks, Application of Ad-Hoc wireless networks, Ad-Hoc wireless Internet.
Ad-Hoc MAC: Issues and challenges in designing a MAC protocol for mobile Ad-Hoc
networks, Design goals of MAC protocol, Classification of MAC protocols, MACAW,
Floor acquisition multiple access protocols, Media access with reduced handshake
protocol, Contention based protocols with reservation mechanisms: Distributed packet
reservation multiple access protocol, collision avoidance time allocation protocol, Five
phase reservation protocol, Multi channel MAC & power control MAC protocol.
Unit 2
Ad-Hoc Routing : Introduction , Issues in designing a routing protocol for Ad-Hoc
wireless networks, Classification of routing protocols : Table-driven routing protocols ,
Destination Sequenced Distance Vector (DSDV), Wireless Routing Protocol (WRP) ,
Cluster Switch Gateway Routing (CSGR) , Source-Initiated On-Demand Approaches ,
Ad-Hoc On-demand Distance Vector Routing (AODV) , Dynamic Source Routing (DSR)
,Temporally Ordered Routing Algorithm (TORA) , Signal Stability Routing (SSR) ,
Location-Aided Routing (LAR) , Power-Aware Routing (PAR) , Zone Routing Protocol
(ZRP).
Multicast Routing in Ad-Hoc Networks: Introduction , Issues in designing a multicast
routing protocol , Operation of multicast routing protocols , An architecture Reference
Model for multicast routing protocols , Classification of multicast routing protocols ,
Tree-based multicast routing protocols, Mesh-based multicast routing protocols ,
Summary of Tree-based and Mesh-based protocols , Energy-efficient multicasting ,
Multicasting with Quality of Service guarantees, Application-dependent multicast
routing, Comparison of multicast routing protocols.
Unit 3
Transport Layer: Introduction, Issues in designing a transport layer protocol for Ad hoc
wireless networks, Design goals of a transport layer protocol for Ad Hoc wireless
networks, Classification of transport layer solutions, TCP over Ad Hoc wireless
networks, Other transport layer protocols for Ad-Hoc wireless networks.
Security: Security in Ad hoc wireless networks, Network security requirements, Issues
& challenges in security provisioning, Network security attacks, Key management,
Secure routing in Ad hoc wireless networks.
Unit 4
QoS: Introduction, Issues and challenges in providing QoS in Ad-Hoc wireless networks,
Classification of QoS solutions, MAC layer solutions, network layer solutions.
Energy Management: Introduction , Need for energy management in Ad- Hoc wireless
networks , Classification of energy management schemes, Battery management schemes
, Transmission power management schemes, System power management schemes.
REFERENCE :
1. Ad hoc Wireless Networks – C. Siva Ram Murthy & B. S. Manoj, 2nd
Edition, Pearson Education, 2005.
2. Mobile Ad hoc Networking- Stefano Basagni, Wiley Interscience, IEEE
Press, 2004.
3. Mobile Ad Hoc Networks- George Aggelou, McGrawHill, 2004.
4. Ad-hoc Wireless Networks – Ozan K. Tonguz and Gianguigi Ferrari, John
Wiley, 2006.
5. Ad-hoc Wireless Networking – Xiuzhen Cheng, Xiao Hung, Ding-Zhu Du,
Kluwer Academic Publishers, 2004.
6. Ad-hoc Mobile Wireless Networks: Protocols and Systems - C.K. Toh,
Prentice-Hall PTR, 2001.
7. Ad Hoc Networking -Charles E. Perkins , Addison Wesley, 2000.
ECE- 516T (MOBILE COMPUTING)
UNIT I: Introduction to Mobile Communications and Computing: Mobile Computing
(MC): Introduction to MC, novel applications, limitations, and architecture.
GSM: Mobile services, System architecture, Radio interface, Protocols, Localization and
calling, Handover, Security, and New data services.
UNIT II: (Wireless) Medium Access Control: Motivation for a specialized MAC
(Hidden and exposed terminals, near and far terminals), SDMA, FDMA, TDMA,
CDMA.
UNIT III: Mobile Network Layer: Mobile IP (Goals, assumptions, entities and
terminology, IP packet delivery, agent advertisement and discovery, registration,
tunnelling and encapsulation, optimizations), Dynamic Host Configuration Protocol
(DHCP).
UNIT IV: Mobile Transport Layer : Traditional TCP, Indirect TCP, Snooping TCP,
Mobile TCP, Fast retransmit/fast recovery, Transmission /time-out freezing, Selective
retransmission, Transaction oriented TCP.
UNIT V: V Database Issues: Hoarding techniques, caching invalidation mechanisms,
client server computing with adaptation, power-aware and context-aware computing,
transactional models, query processing, recovery, and quality of service issues. Data
Dissemination: Communications asymmetry, classification of new data delivery
mechanisms, push-based mechanisms, pull-based mechanisms, hybrid mechanisms,
selective tuning (indexing) techniques.
UNIT VI: Mobile Ad hoc Networks (MANETs): Overview, Properties of a MANET,
spectrum of MANET applications, routing and various routing algorithms, security in
MANETs
UNIT VII Protocols and Tools: Wireless Application Protocol-WAP. (Introduction,
protocol architecture, and treatment of protocols of all layers), Bluetooth (User scenarios,
physical layer, MAC layer, networking, security, link management).
References:
1. Jochen Schiller, Mobile Communications, Addison-Wesley. second edition, 2004.
2. Stojmenovic and Cacute, Handbook of Wireless Networks and Mobile Computing ,
Wiley, 2002, ISBN0471419028.
ECE- 518T (BIO-MEDICAL SIGNAL PROCESSING)
UNIT I: Introduction
Linear, stationary, normal - the stuff biology is not made of.
UNIT II: Linear systems
Impulse response, Discrete Fourier transform and z-transform, Convolution, Sampling
UNIT III: Random variables and stochastic processes
Random variables, Moments and Cumulants, Multivariate distributions, Statistical
independence and stochastic processes
UNIT IV: Examples of biomedical signal processing
Probabilistic estimation, Linear discriminants - detection of motor activity from MEG,
Harmonic analysis - estimation of heart rate in ECG, Auto-regressive model -
estimation of the spectrum of 'thoughts' in EEG, Matched and Wiener filter - filtering in
ultrasound, Independent components analysis - analysis of MEG signals
REFERENCES:
1. Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, John Wiley &
Sons,2000.
2. Steven Kay, Fundamentals of Statistical Signal Processing, Prentice Hall, 1998.
3. Monson H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley &
Sons,1996.
4. Iranpour, R. and Chacon, P., Basic Stochastic Processes: The Mark Kac
Lectures.MacMillan, 1988
ECE- 520T (SPEECH PROCESSING)
UNIT 1
Digital models for speech signals:
Mechanism of speech production & acoustic phonetics, the acoustic theory of speech
production, lossless tube models, and digital models for speech signals.
UNIT 2
Time Domain Models and Digital Representation of Speech: Time dependent processing of speech, short time energy and average magnitude, short
time average zero crossing rate, discrimination between speech& silence, pitch period
estimation using parallel processing, short time autocorrelation function & AMDF, pitch
period estimation using autocorrelation function, Median Smoothing and Speech
Processing. Sampling speech signals, Review of the statistical model for speech,
Instantaneous Quantization, Adaptive Quantization, General Theory of Differential
Quantization, DPCM, Direct Digital Code Conversion.
UNIT 3
Short Time Fourier analysis of Speech Signal:
Definition and properties, Design of digital filter banks, Implementation of filter bank
summation method using FFT, Spectrographic displays, Pitch detection, Analysis by
synthesis, Analysis-Synthesis systems.
UNIT 4
Homomorphic Speech processing and Linear Predictive Coding of Speech: Homomorphic systems for convolution, Complex cepstrum of speech, Pitch detection,
Formant estimation, The Homomorphic vocoder, Basic principles of linear predictive
analysis, Computation of the gain for the model, Solution of LPC equations,
Comparisons between the methods of solution of the LPC analysis equations, The
prediction error signal, Frequency domain interpretation of linear predictive analysis,
relation of linear predictive analysis to lossless tube models, Relations between the
various speech parameters, Synthesis of speech from linear predictive parameters,
application of LPC parameters.
References:
Digital Processing of Speech Signals by L.R. Rabiner and R.W. Schafer,Pearson
Discrete-Time Speech Signal Processing Principles and Practices by Thomas F. Quatieri,
Pearson
Chris Rowden: Speech Processing McGraw Hill
ECE- 522T (DIGITAL SIGNAL PROCESSORS AND APPLICATIONS)
Unit-1 SDP 56002: Architecture, CPU, ALU, Program Controller, Address
Generation Unit, Addressing Modes, Interrupt, Priority register.
Unit-2 DSP 56002 Instruction Set : Instruction Formats Parallel move operating
parallel move types, instructions set move arithmetic logic, bit manipulation, loop,
programme control instructions.
Unit-3 Applications: Designing and implementing FIR, IIR filters, implementing Fast
Fourier. Transforms with DSP 56002.
TMS – 320 Architecture, and Instruction Set. Introduction to Code Composer Studio
for developing its applications in Communications
Note: Eight questions will be set and the students will be asked to attempt any five
questions.
REFERENCES:
1. Mohammed EL. Sharkawy: Digital Signal Processor Applications with
Motorola’s DSP 56002. P.H. PTR.
2. Sen M. Kuo, Woon-Seng S. Gan, “Digital Signal Processors: Architectures,
Implementations, and Applications”, Pearson Education
ECE- 524T (ADAPTIVE SIGNAL PROCESSING)
UNIT-I
Discrete random processes
Random variables, random processes, filtered random processes, Ensemble averages,
correlation, covariance, power spectrum, cross power spectrum, Ergodicity, time
averages, biased & unbiased estimators, consistent estimators.
Linear prediction
Direct form linear prediction filtering, Normal equations for linear prediction filtering.
Levinson algorithm, Linear prediction lattice filtering.
UNIT II
Digital Wiener filtering
Wiener smoothing and prediction filters, Application of Wiener smoothing to noise
cancelling. Application of Wiener prediction filters. Constrained, linear MMSE filtering,
minimum variance beam forming
Least mean squares adaptive filter
Frequency domain adaptive filters, Adaptive lattice filters
UNIT III
Orthogonalized adaptive filters Frequency domain adaptive filters
Adaptive lattice filters
Least squares adaptive filters
Godard algorithm Lattice
UNIT IV
Other adaptive filtering techniques
Neural networks and multi-layer perceptrons, Adaptive IIR filtering, The constant
modulus algorithm
Blind adaptive filtering
Cost functions. Higher-order statistics
References
[1] Fundamentals of Adaptive Filtering, Ali H. Sayed, John Wiley, 2003.
[2] Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling,
Adaptive Filtering and Array Processing, D. Manolakis, V. Ingle, S. Kogan, McGraw
Hill, 1999.
[3] Adaptive Signal Processing, B. Widrow, S. Stearns, Prentice-Hall, 1985.
[4] Theory and Design of Adaptive Filters, J. Triechler, C. Johnson, M. Larimore
Prentice-Hall, 1995.
[5] Adaptive Filtering: Algorithms and Practical Implementation, P. Diniz, Kluwer, 1997
.
[6] Adaptive Filters: Structures, Algorithms and Applications, M. Honig, D.
Messerschmitt, Kluwer, 1984.
[7] Adaptive Signal Processing, L. Sibul, Ed., IEEE Press, 1987.
[8] Time Series Analysis: Forecasting and Control, G. Box, G. Jenkins, Holden- Day,
1976.
[9] Time Series, D. Brillinger, Holt-Reinhart-Wilson, 1975.
[10] Signal Processing: The Modern Approach, J. Candy, McGraw Hill, 1988.
[11] Signal Processing: The Model Based Approach, J. Candy, McGraw Hill, 1986.
[12] Digital Spectral Analysis, S. Marple, Prentice-Hall, 1987.
[13] Blind Deconvolution, S. Haykin, ed., Prentice-Hall, 1994.
ECE- 526T (MODERN CODING THEORY)
Unit-1 Introduction, Coding: Trial and Error, Codes and Ensembles; Signal Detection: The
Gaussian Channel, MAP and ML Detection; Memory less Channels Channel Coding
Theorem: “Proof of Channel Coding Theorem”, Transmission at capacity with errors, The
Implication of the Channel Coding Theorem; Linear Codes and Complexity.
Unit-2 Important Block Codes: Introduction, Hadamard Codes, Reed-Muller Codes, Golay
Codes; Bounds on Codes: The Gilbert-Varshamov Bound, The Plotkin Bound, The Griesmer
Bound.
Unit-3 Convolutional Codes: Encoders-Catastrophic Encoders, Polynomial and Rational
Encoders, Constraint Length and Minimal encoders; Decoder- Introduction and Notation,
The Viterbi Algorithms; Trellis Encoders-Trellis Coded Modulation(TCM): Adding
Redundancy by Adding Signals, Background On Signal Constellations, examples-The
general ungerboeck Coding Framework; Decoding TCM Codes.
Unit-4 Iteratively Decoded Codes: Turbo Codes-Introduction, Encoding Parallel
Concatenated Codes, Decoding-The MAP Decoding Algorithm, Likelihood Ratio Decoding;
Low Density Parity-Check Codes-construction and Notation, Tanner Graphs, Transmission
through a Gaussian channel, Decoding LDPC Codes.
Unit-5 Space-Time Coding: Fading Channel and Space-Time Codes-Introduction; Fading
Channels-Rayleigh Fading; Diversity Transmission and Reception: The MIMO channel-The
Narrowband MIMO Channel, Diversity Performance with Maximal-Ratio Combining; Space
Time Block Codes-The Alamouti Code, A more General Formulation, Performance
Calculation-Real Orthogonal Design; Space-Time Trellis Codes.
REFERENCES:
1. Todd K. Moon: Error Correction Coding. WSE
2. T. Richardson and R. Urbanke: Modern Coding Theory.
ECE-528T (MIMO SYSTEMS)
UNIT 1
Introduction to multi antenna communications
Space time wireless channels for multi antenna systems, Overview of Diversity techniques of SIMO,
MISO and MIMO systems
Shannon’s capacity formula, Extended Capacity formula for MIMO channels, Capacity of SIMO-
MISO channels, Stochastic channels, MIMO capacity with Rice and Rayleigh channels.
UNIT 2
Introduction to Space time coding
Introduction, MIMO System and space time coding: Methodologies and diversity. Space time block
codes: Alamouti’s transmit technique, Orthogonal space time block codes.
Space time trellis codes: Encoding and decoding, Performance analysis and code design. Spatial
Multiplexing: V-Blast Algorithm. Space time coding with CSI knowledge, no CSI knowledge and
partial CSI knowledge at the transmitter.
UNIT 3
Feedback Techniques and Antenna Selection in MIMO Systems
Feedback Techniques :Introduction, Limited feedback MIMO: System Description, channel
quantization , quantized signal adaptation, Quantized signal Adaptation algorithms: Beamforming
example, precoded orthogonal space time block codes, precoded spatial multiplexing. Feedback in
broadband channels with MIMO-OFDM
Antenna Selection: Implementing Antenna Selection: Criteria and Algorithms, Performance with
non- idealities. Antenna selection with spatial correlation
UNIT 4
Real Time MIMO OFDM Signal Processing and General Issues
Implementation Concept, Channel Estimation, Adaptation to time variant channel, Data
Reconstruction. Framing, mapping, channel coding, and real time data interface. Implementation,
Complexity and system integration.
Issues: Network planning: Introduction to network planning. Coverage and capacity enhancement
methods. Base stations with downlink transmit diversity and beamforming. Deployment. Smart
Antenna Planning Example.
REFERENCES:
1. George Tsoulos,” MIMO System Technology for wireless communications”,Taylor &
Francis Group.
2. Claude Oestges & Bruno Clerckx,” MIMO wireless communications: from real world
propagation to space time coding design”, Elsevier
3. Volker Kuhn,” wWreless Communication over MIMO Chaneels”, John Wiley.
ECE-530T (DIGITAL FILTER DESIGN)
UNIT 1
Analog Filter Approximations for Recursive Filters: Introduction, Basic Concepts,
Butterworth Approximation, Chebyshev Approximation, Elliptic Approximation, Bessel
Approximation, Transformations, Realizability Constraints, Invariant Impulse Response
Method, Modified Invariant Impulse Response Method, Matched z-Transformation
Method, Bilinear Transformation Method, Digital Filter Transformations.
UNIT 2
Recursive Filters Satisfying Prescribed Specifications: Introduction, Design
Procedure, Design Formulas, Design using the Formulas and Tables, Constant Group
Delay, Amplitude Equalization.
UNIT 3
Design of Nonrecursive Filters: Introduction, Properties of Nonrecursive Filters, Design
using the Fourier series, Use of Window Functions, Design Based on Numerical-Analysis
Formulas, Comparison between Recursive and Nonrecursive Designs.
UNIT 4
Design of Recursive and Nonrecursive Filters Using Optimization Methods:
Introduction, Problem Formulation, Newton’s Method, Quasi-Newton Algorithms,
Minimax Algorithms, Improved Minimax Algorithms, Design of Recursive Filters,
Design of Recursive Delay Equalizers, Remez Exchange Algorithm, Improved Search
Methods, Efficient Remez Exchange Algorithm, Gradient Information, Prescribed
Specifications, Generalization, Digital Differentiators, Arbitrary Amplitude Responses,
Multiband Filters.
References:
1. Digital Filters Analysis, Design and Applications by Andreas Antoniou.
2. Roman Kuc: Introduction to Digital Signal Processing. MGH
3. JG Proakis: Digital Signal Processing PHI.
4. Oppenheim Schafer: Discrete Time Signal Processing. PHI
5. Simon Haykin, Adaptive Filter Theory, PTH
ECE- 532T (DIGITAL VIDEO PROCESSING) UNIT 1: Image and Video Processing
Introduction to Digital Image and Video Processing, Basic Image processing techniques,
Basic Tools for Image Fourier Analysis. Basic Linear Filtering with Application to Image
Enhancement, Nonlinear Filtering for Image Analysis and Enhancement, Morphological
Filtering for Image Enhancement and Feature Detection, Wavelet Denoising for Image
Enhancement, Basic Methods for Image Restoration and Identification, Multi-Frame
Image Restoration, Motion Detection and Estimation, Video Enhancement and
Restoration, Local and Global Stereo Methods, Image Sequence Stabilization,
Mosaicking, and Super resolution.
UNIT 2: Image and Video Analysis
Computational Models of Early Human Vision, Multiscale Image Decompositions and
Wavelets, Random Field Models, Image Noise Models, Statistical Methods for Image
Segmentation, Video Segmentation, 2D and 3D Motion Tracking in Digital Video, Adaptive and Neural Methods for Image Segmentation,.
UNIT 3: Video Compression and Acquisition
Basic Concepts and Techniques of Video Coding and the H.261 Standard, Interframe
Subband/Wavelet Scalable Video Coding, Digital Video Transcoding, MPEG-1 and
MPEG-2 Video Standards, MPEG-4, H.264/AVC, and MPEG-7: New Standards for the
Digital Video Industry, Embedded Video Codecs, Image Scanning, Sampling, and
Interpolation, Video Sampling and Interpolation.
UNIT 4: Video Assessment, Communication and Retrieval
Image Quantization, Halftoning, and Printing, Perceptual Criteria for Image Quality
Evaluation, Various Approaches to Image Quality Assessment, Video Indexing and
Retrieval, Video Communication Networks, Joint Source-Channel Coding for Video
Communications, Visual Cryptography, Applications.
Reference:
1. Handbook of Image and Video Processing (Second Edition) Edited by: Al
Bovik ISBN: 978-0-12-119792-6, 2nd edition, Elsevier 2005.
2. The Image Processing Handbook, Sixth Edition by: John C. Russ, CRC press,
2011.
3. Handbook of Color Image Processing methods and applications By: Rastislav
Lukac, Konstantinos N. Plataniotis, CRC Press, 2007.
http://www.amazon.com/Digital-Video-Processing-Murat-Tekalp/dp/0131900757
ECE-534T (RESEARCH METHODOLOGY)
Research Methodology: Introduction, Meaning, Objectives, Motivation,
Significance, research Process
Research Design: Introduction, need and types
Methods of scientific research: Qualitative research, Quantitative research, Desk
research
Research as an Engineering pursuit; validation of results
Data collection methods, approaches to data collection, data collection tools,
Interpretation of statistical analysis: basic statistics, normal distribution and
estimation
On-line literature searching and document retrieval
Outline of problem solving, creative thinking, theory and practice, creative-
thinking
techniques
Scheduling, organization and procrastination, keeping a schedule, tools of time
management: rules of time management, setting assessing and achieving goals
Review of techniques for managing stress, Oral communication: voice production,
performance anxiety, informative speech, audio- visual materials,
Ethics in research, intellectual property rights.
Writing a research proposal and research paper; process of reporting
Referencing and standard report formats
Reference:
1. Anthony M. Graziano, Michael L. Raulin, “Research Methods”, Amazon.com
2. C.R. Kothari, “Research Methodology: Methods and Techniques”, New Age
International
3. Wayne Goddard and Stuart Melville, “Research Methodology: An Introduction”,
JUTA