LINEAR ALGEBRA Subject Code

28
1 I SEMESTER LINEAR ALGEBRA Subject Code : 12EC046 IA Marks : 50 No. of Lecture Hours/Week : 04 Exam Marks : 03 Total No. of Lecture Hours : 52 Exam Hours : 100 Linear Equations: Fields; system of linear equations, and its solution sets; elementary row operations and echelon forms; matrix operations; invertible matrices, LU-factorization. (Ref.2 Chap.1) Vector Spaces: Vector spaces; subspaces; bases and dimension; coordinates; summary of row-equivalence; computations concerning subspaces. (Ref.1 Chap. 2) Linear Transformations: Linear transformations; algebra of linear transformations; isomorphism; representation of transformations by matrices; linear functionals; transpose of a linear transformation. (Ref.2 Chap.3) Canonical Forms: Characteristic values; annihilating polynomials; invariant subspaces; direct-sum decompositions; invariant direct sums; primary decomposition theorem; cyclic bases; Jordan canonical form. Iterative estimates of characteristic values. (Ref.2 Chap. 6) Inner Product Spaces: Inner products; inner product spaces; orthogonal sets and projections; Gram-Schmidt process; QR-factorization; least- squares problems; unitary operators. (Ref.1 Chap. 8) Symmetric Matrices and Quadratic Forms: Digitalization; quadratic forms; constrained optimization; singular value decomposition. (Ref.2 Chap.7) REFERENCE BOOKS: 1. C. Lay, “Linear Algebra and its Applications,” 3 rd edition, Pearson Education (Asia) Pte. Ltd, 2005. 2. Kenneth Hoffman and Ray Kunze, "Linear Algebra," 2 nd edition, Pearson Education (Asia) Pte. Ltd/ Prentice Hall of India, 2004. 3. Bernard Kolman and David R. Hill, "Introductory Linear Algebra with Applications”, Pearson Education (Asia) Pte. Ltd, 7 th edition, 2003. 4. Gilbert Strang, "Linear Algebra and its Applications”, 3 rd edition, Thomson Learning Asia, 2003.

Transcript of LINEAR ALGEBRA Subject Code

Page 1: LINEAR ALGEBRA Subject Code

1

I SEMESTER

LINEAR ALGEBRA Subject Code : 12EC046 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Linear Equations: Fields; system of linear equations, and its solution sets; elementary row operations and echelon forms; matrix operations; invertible matrices, LU-factorization. (Ref.2 Chap.1) Vector Spaces: Vector spaces; subspaces; bases and dimension; coordinates; summary of row-equivalence; computations concerning subspaces. (Ref.1 Chap. 2) Linear Transformations: Linear transformations; algebra of linear transformations; isomorphism; representation of transformations by matrices; linear functionals; transpose of a linear transformation. (Ref.2 Chap.3) Canonical Forms: Characteristic values; annihilating polynomials; invariant subspaces; direct-sum decompositions; invariant direct sums; primary decomposition theorem; cyclic bases; Jordan canonical form. Iterative estimates of characteristic values. (Ref.2 Chap. 6) Inner Product Spaces: Inner products; inner product spaces; orthogonal sets and projections; Gram-Schmidt process; QR-factorization; least-squares problems; unitary operators. (Ref.1 Chap. 8) Symmetric Matrices and Quadratic Forms: Digitalization; quadratic forms; constrained optimization; singular value decomposition. (Ref.2 Chap.7) REFERENCE BOOKS: 1. C. Lay, “Linear Algebra and its Applications,” 3rd edition, Pearson

Education (Asia) Pte. Ltd, 2005. 2. Kenneth Hoffman and Ray Kunze, "Linear Algebra ," 2nd edition, Pearson Education (Asia) Pte. Ltd/ Prentice Hall of India, 2004.

3. Bernard Kolman and David R. Hill, "Introductory Linear Algebra with Applications”, Pearson Education (Asia) Pte. Ltd, 7th edition, 2003.

4. Gilbert Strang, "Linear Algebra and its Applications” , 3rd edition, Thomson Learning Asia, 2003.

Page 2: LINEAR ALGEBRA Subject Code

2

ANTENNA THEORY & DESIGN Subject Code : 12EC011 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Antenna Fundamentals and Definitions: Radiation mechanism - over view, Electromagnetic Fundamentals, Solution of Maxwell’s Equations for Radiation Problems, Ideal Dipole, Radiation Patterns, Directivity and Gain, Antenna Impedance, Radiation Efficiency. Antenna Polarization Resonant Antennas: Wires and Patches, Dipole ntennas, Yagi - Uda Antennas, Micro strip Antenna. Arrays: Array factor for linear arrays, uniformly excited, equally spaced Linear arrays, pattern multiplication, directivity of linear arrays, non- uniformly excited -equally spaced linear arrays, Mutual coupling, multidimensional arrays, phased arrays, feeding techniques, perspective on arrays. Broad band Antennas: Traveling - wave antennas, Helical antennas, Biconical antennas, sleave antennas, and Principles of frequency - independent Antennas, spiral antennas, and Log - Periodic Antennas. Aperture Antennas: Techniques for evaluating Gain, reflector antennas - Parabolic reflector antenna principles, Axi -symmetric parabolic reflector antenna, offset parabolic reflectors, dual reflector antennas, Gain calculations for reflector antennas, feed antennas for reflectors, field representations, matching the feed to the reflector, general feed model, feed antennas used in practice. Antenna Synthesis: Formulation of the synthesis problem, synthesis principles, line sources shaped beam synthesis, linear array shaped beam synthesis — Fourier Series, Woodward — Lawson sampling method, comparison of shaped beam synthesis methods, low side lobe narrow main beam synthesis methods Dolph Chebyshev linear array, Taylor line source method. ] Method of Moments : Introduction to method of Moments, Pocklington’s integral equation, integral equations and Kirchoff’s Networking Equations, Source Modeling Weighted residuals formulations and computational consideration, calculation of antenna and scatter characteristics. CEM for Antennas : Finite Difference Time Domain Method Geometrical Optics Wedge diffraction theory, ray fixed coordinate system, uniform theory of wedge diffraction, E - Plane analysis of Horn antennas.

Page 3: LINEAR ALGEBRA Subject Code

3

Cylindrical parabolic antenna, radiation by a slot on a finite ground plane, radiation by a monopole on a finite ground plane, equivalent current concepts, multiple diffraction formulation, by curved surfaces, physical optics, method of stationary phase, physical theory of diffraction, cylindrical parabolic reflector antennas. Reference Books:

1.C. A. Balanis: “Antenna Theory Analysis and Design”, John Wiley, 2nd Edition, 1997 2.Kraus: “Antennas”, McGraw Hill, TMH, 3rd/4th Edition. 3.Stutzman and Thiele, “Antenna Theory and Design”, 2ndEd, John Wiley and Sons Inc.. 4.Sachidananda et. el, “Antenna and Propagation”, Pearson Edu.

------------------------------------------------------- ASSIGNMENT FOR THE LABS: Antenna Theory and Design: (FEKO Simulator can be used)

1. MATLAB / C Implementation to obtain radiation pattern of an antenna 2. Experimental study of radiation pattern of different antennas. 3. Significance of pocklington’s integral equation 4. Measurement techniques of radiation characteristics of antenna. 5. Impedance Measurements of different antennas. 6. Analysis of E plane and H- plane Horns. 7. Directivity and Gain of different types of Antennas. ( Any other experiments can be included to support the theory)

ADVANCED DIGITAL COMMUNICATIONS

Subject Code : 12EC006 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Digital Modulation Techniques: Digital Modulation Formats, Coherent Binary Modulation Techniques, Coherent Quadrature –Modulation Techniques, NonCoherent Binary Modulation Techniques, Comparison of Binary and Quaternary Modulation Techniques, M-ary Modulation Techniques, Power Spectra, Bandwidth Efficiency, M-ary Modulation formats viewed in the Light of the channel capacity Theorem, Effect of

Page 4: LINEAR ALGEBRA Subject Code

4

Intersymbol Interference, Bit Versus Symbol Error Probabilities, Synchronisation, Applications.(Ref.3 Chap.7) Coding Techniques: Convolutional Encoding, Convolutional Encoder Representation, Formulation of the Convolutional Decoding Problem, Properties of Convolutional Codes: Distance property of convolutional codes, Systematic and Nonsystematic Convolutional Codes, Performance Bounds for Convolutional Codes, Coding Gain. Other Convolutional Decoding Algorithms: Sequential Decoding, Feedback Decoding,Turbo Codes.(Ref.3 Chap.7 & 8) Communication through band limited linear filter channels: Optimum receiver for channels with ISI and AWGN, Linear equalization, Decision-feedback equalization, reduced complexity ML detectors, Iterative equalization and decoding-Turbo equalization. (Ref.3 Chap.10) Adaptive Equalization: Adaptive linear equalizer, adaptive decision feedback equalizer, adaptive equalization of Trellis- coded signals, Recursive least squares algorithms for adaptive equalization, self recovering (blind) equalization. (Ref.3 Chap.11) Spread Spectrum Signals for Digital Communication: Model of Spread Spectrum Digital Communication System, Direct Sequence Spread Spectrum Signals, Frequency-Hopped Spread Spectrum Signals, CDMA, time-hopping SS, Synchronization of SS systems. (Ref.3 Chap.13) Digital Communication Through Fading Multi-Path Channels: Characterization of fading multi-path channels, the effect of signal characteristics on the choice of a channel model, frequency-Nonselective, slowly fading channel, diversity techniques for fading multi-path channels, Digital signal over a frequency-selective, slowly fading channel, coded wave forms for fading channels, multiple antenna systems. (Ref.3 Chap.14) REFERENCE BOOKS: 1. John G. Proakis, ―Digital Communications‖, 4th edition, McGraw Hill, 2001. 2. Bernard Sklar, ―”Digital Communications - Fundamentals and

Applications” , 2nd Edition Pearson Education (Asia) Ptv. Ltd, 2001. 3. Simon Haykin, ― Digital Communications‖, John Wiley and Sons, 4. Andrew J. Viterbi, ―CDMA: Principles of Spread Spectrum Communications‖, Prentice Hall, USA, 1995. --------------------------------------------------- Advanced Communication Lab List of Experiments:- 1.Measurements of directivity and beamwidth of the following antennae from their

Radiation pattern: Pyramidal from ( Waveguide type). Parabola (dish type).

2.Determination of Modes, Transit time, Electronic timing range and sensitivity of Klystron source.

Page 5: LINEAR ALGEBRA Subject Code

5

3.Determination of VI charaterstic of GUNN Diode and measurement of guide wavelength, frequency and VSWR. 4.Determination of coupling coefficient and insertion loss of directional coupler and magic tree. 5.Antenna Resonance and Gain Bandwidth measurements.. 6.Generation of bi-phase code from NRZ and vice-versa. 7.Digital modulation of speech signals and demodulation. 8.Generation of pseudo-random code using shift register, filtering. 9.Voice and data multiplexing (TDM) using optical fiber. 10.Performance of digital modulation and demodulation of known signals in presence of noise. 11.Study of WGN, computation of its auto-correlation and statistical parameter (MATLBA/SCILAB may used). 12.Discrete version of DPSK modulation & demodulation. 13.ASK, PSK and FSK using CD4051 IC.

Any other experiments may be added to supplement the theory.

--------------------------------------------------------

PROBOBALITY & RANDOM PROCESS Subject Code : 12EC124 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Introduction to Probability Theory: Experiments, sample space, Events, Axioms, Assigning probabilities, Joint and conditional probabilities, Baye’s Theorem, Independence, Discrete Random Variables, Engg Example. Random Variables, Distributions, Density Functions: CDF, PDF, Gaussian random variable, Uniform Exponential, Laplace, Gamma, Erlang, Chi-Square, Raleigh, Rician and Cauchy types of random variables Operations on a Single R V: Expected value, EV of Random variables, EV of functions of Random variables, Central Moments, Conditional expected values. Characteristic functions, Probability generating functions, Moment generating functions, Engg applications, Scalar quantization, entropy and source coding.

Page 6: LINEAR ALGEBRA Subject Code

6

Pairs of Random variables, Joint CDF, joint PDF, Joint probability mass functions, Conditional Distribution, density and mass functions, EV involving pairs of Random variables, Independent Random variables, Complex Random variables, Engg Application. Multiple Random Variables: Joint and conditional PMF, CDF, PDF,.EV involving multiple Random variables, Gaussian Random variable in multiple dimension, Engg application, linear prediction. Random Process: Definition and characterization, Mathematical tools for studying Random Processes, Stationary and Ergodic Random processes, Properties of ACF. Example Processes: Markov processes, Gaussian Processes, Poisson Processes, Engg application, Computer networks, Telephone networks. Reference Books:

1.Probability and random processes: application to Signal processing and communication - S L Miller and D C Childers: Academic Press / Elsivier 2004. 2. Probability, Random variables and stochastic processes - A. Papoullis and S U Pillai: McGraw Hill 2002 3. Probability, Random variables and Random signal principles - Peyton Z Peebles: TMH 4th Edition 2007 4. Probability, random processes and applications - H Stark and Woods: PHI 2001

ELECTIVE -1 SIMULATION MODELING AND ANALYSIS

Subject Code : 12EC128 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Basic simulation modeling: nature of simulation, system models, discrete event simulation, single server simulation, alternative approaches, other types of simulation.(Ref .1 Chap.1)

Page 7: LINEAR ALGEBRA Subject Code

7

Building valid, credible and detailed simulation models. Techniques for increasing model validity and credibility, comparing real world observations.(Ref .1 Chap.5) Selecting input probability distributions. Useful probability distributions, assessing sample independence, activity I, II and III. Models of arrival process.(Ref .1 Chap.6) Random numbers generators: linear congruential, other kinds, testing random number generators. Random variate generation: approaches, continuous random variates, discrete random variates, correlated random variates.(Ref .1 Chap.7 & 8) Output data analysis. Statistical analysis for terminating simulations, analysis for steady state parameters. Comparing alternative system configurations. Confidence intervals. Variance reduction techniques. Antithetic and Control variates.(Ref .1 Chap.9) References Books: 1. Averill Law, “Simulation modeling and analysis”, MGH, 4th

edition, 2007 2. Jerry Banks, “Discrete event system simulation”, Pearson, 2009.

3. Seila, Ceric, Tadikamalla, “Applied simulation modeling”, Cengage, 2009.

4. George S. Fishman, “Discrete event simulation”, Springer, 2001. 5. Frank L. Severance, “System modeling and simulation”, Wiley, 2009

REAL TIME OPERATING SYSTEMS Subject Code : 12EC126 IA Marks : 50 No. of Lecture Hours /week : 04 Exam Hours : 03 Total no. of Lecture Hours : 52 Exam Marks : 100

Introduction to Real-Time Embedded Systems: Brief history of Real Time Systems, A brief history of Embedded Systems. System Resources: Resource Analysis, Real-Time Service Utility, Scheduling Classes, The Cyclic Esecutive, Scheduler Concepts, Preemptive Fixed Priority Scheduling Policies, Real-Time OS, Thread Safe Reentrant Functions.

Page 8: LINEAR ALGEBRA Subject Code

8

Processing: Preemptive Fixed-Priority Policy, Feasibility, Rate Montonic least upper bound, Necessary and Sufficient feasibility, Deadline – Monotonic Policy, Dynamic priority policies. I/O Resources: Worst-case Execution time, Intermediate I/O, Execution efficiency, I/O Architecture. Memory: Physical hierarchy, Capacity and allocation, Shared Memory, ECC Memory, Flash filesystems. Multiresource Services: Blocking, Deadlock and livestock, Critical sections to protect shared resources, priority inversion. Soft Real-Time Services: Missed Deadlines, QoS, Alternatives to rate monotonic policy, Mixed hard and soft real-time services. Embedded System Components: Firmware components, RTOS system software mechanisms, Software application components. Debugging Components: Execptions assert, Checking return codes, Single-step debugging, kernel scheduler traces, Test access ports, Trace ports, Power-On self test and diagnostics, External test equipment, Application-level debugging. Performance Tuning: Basic concepts of drill-down tuning, hardware – supported profiling and tracing, Building performance monitoring into software, Path length, Efficiency, and Call frequency, Fundamental optimizations. High availability and Reliability Design: Reliability and Availability, Similarities and differences, Reliability, Reliable software, Available software, Design trade offs, Hierarchical applications for Fail-safe design. Design of RTOS – PIC microcontroller. (Chap 13 of book Myke Predko) References Books: 1.“Real-Time Embedded Systems and Components” , Sam Siewert, Cengage Learning India Edition, 2007. 2.“ Programming and Customizing the PIC microcontroller” , Myke Predko, 3rd Ed, TMH, 2008

Page 9: LINEAR ALGEBRA Subject Code

9

3.“Programming for Embedded Systems”, Dreamtech Software Team, John Wiley, 2008

4.“Embedded Linux: Hardware, Software & Interfacing” , Carig Hollabaugh, Pearson Education, 2009.

MULTIMEDIA COMMUNICATION Subject Code : 12EC052 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Multimedia Communications: multimedia information representation, multimedia networks, multimedia applications, network QoS and application QoS. (Ref.1 Chap. 1) Information Representation: text, images, audio and video, Text and image compression, compression principles, text compression, image compression. Audio and video compression, audio compression, video compression, video compression principles, video compression standards: H.261, H.263, P1.323, MPEG 1, MPEG 2, Other coding formats for text, speech, image and video.(Ref 1 Chap 3 &4) Detailed Study of MPEG 4: coding of audiovisual objects, MPEG 4 systems, MPEG 4 audio and video, profiles and levels. MPEG 7 standardization process of multimedia content description, MPEG 21 multimedia framework, Significant features of JPEG 2000, MPEG 4 transport across the Internet. (Ref2. Chap.5) Synchronization: Notion of synchronization, presentation requirements, reference model for synchronization, Synchronization specification. Multimedia operating systems, Resource management, process management techniques. (Ref. 3. Cahp 9 & 11) Multimedia Communication Across Networks: Layered video coding, error resilient video coding techniques, multimedia transport across IP networks and relevant protocols such as RSVP, RTP, RTCP, DVMRP, multimedia in mobile networks, multimedia in broadcast networks. (Ref.2 Chap. 6) Assignments / Practicals can be given on writing the programs to encode and decode the various kinds of data by using the algorithms. Students can collect several papers from journals/conferences/Internet on a specific area of multimedia communications and write a review paper and make a presentation.

Page 10: LINEAR ALGEBRA Subject Code

10

Reference Books:

1. Fred Halsall, “Multimedia Communications”, Pearson education, 2001

2. K. R. Rao, Zoran S. Bojkovic, Dragorad A. Milovanovic, “Multimedia Communication Systems”, Pearson education, 2004 3. Raif steinmetz, Klara Nahrstedt, “Multimedia: Computing, Communications and Applications”, Pearson education, 2002

4. John Billamil, Louis Molina, “Multimedia : An Introduction ”, PHI, 2002

II SEMESTER

WIRELESS COMMUNICATIONS

Subject Code : 12EC086 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Wireless channel: physical modeling for wireless channels, input/output model of wireless channel, time and frequency response, statistical models. (Ref.1 Chap.2) Point to point communication: detection in rayleigh fading channel, time diversity, antenna diversity, frequency diversity, impact of channel uncertainty.(Ref.1 Chap.3) Diversity: Introduction, Microdiversity, Microdiversity and simulcast, Combination of Signals, Error Probability in fading channels with diversity Reception, transmit diversity. (Ref 2 Chap.13) Capacity of wireless channels: AWGN channel capacity, resources of AWGN channel, Linear time invariant gaussian channels, capacity of fading channels. (Ref.1 Chap.5) MIMO Systems: Introduction, Space Diversity and Systems Based on Space Diversity, Smart antenna system and MIMO, MIMO based System architecture, MIMO exploits multipath, Space time Processing, Antenna considerations for MIMO, MIMO channel Modeling, MIMO Channel measurement, MIMO Channel capacity, CDD, Space Time Coding, Advantages and Applications of MIMO, MIMO applications in 3G [Ref 4 Chap.15)

Page 11: LINEAR ALGEBRA Subject Code

11

MIMO 1 – Spatial multiplexing and channel modeling: multiplexing capability of MIMO channels, physical modeling of MIMO channels, modeling MIMO fading channels. (Ref.1 Chap.7) Multi Antennae Systems: Smart antennas, Multiple Input Multiple Output Systems, [Ref 1.20] References Books: 1. David Tse, P. Viswanath, “Fundamentals of wireless communication”, Cambridge, 2006. 2. Andreas Molisch, “Wireless communications”, Wiley, 2009 3.William C Y Lee, “Mobile Communication Engineering Theory and applications”, TMGH, 2008 4. Upen Dalal, “Wireless communication”, Oxford, 2009 5. Mark Ciampa, Jorge Olenwa, “Wireless communications”, Cengage, 2007. Laboratory Experiments: Assignment for the Laboratory work: USE NS2 SIMULATOR (available FREE on the net) 1. Use NS2 simulator to check for the transmission power in the Wireless network. 2. Using NS2 measure the losses in the channel. 3. Using NS2 implement the propagation model both indoor and Out door. 4. Using NS2 measure the performance analysis of different models. 5. Using NS2 implement the CDMA model. 6. Using NS2 measure the Latency, BW and efficiency of the given Wireless model. Any other experiments can be added to supplement the theory. ------------------------------------------------------------------------------ MODERN DSP Subject Code : 12EC123 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Page 12: LINEAR ALGEBRA Subject Code

12

Goal of the course – Advances in Digital Signal Processing involve variable sampling rates and thus the multirate signal processing and hence their applications in communication systems and signal processing. It is intended to introduce a basic course in multirate signal processing especially meant for students of branches eligible for M Tech courses in EC related disciplines. Introduction and Discrete Fourier Transforms: Signals, Systems and Processing, Classification of Signals, The Concept of Frequency in Continuous-Time and Discrete-Time Signals, Analog-to-Digital and Digital-to-Analog Conversion, Frequency-Domain Sampling: The Discrete Fourier Transform, Properties of the DFT, Linear Filtering Methods Based on the DFT.(Ref.1 Chap. 1 & 7) Design of Digital Filters: General Considerations, Design of FIR Filters, Design of IIR Filters from Analog Filters, Frequency Transformations. (Ref.1 Chap. 10) Multirate Digital Signal Processing: Introduction, Decimation by a factor ‘D’, Interpolation by a factor ‘I’, Sampling rate Conversion by a factor ‘I/D’, implementation of Sampling rate conversion, Multistage implementation of Sampling rate conversion, Sampling rate conversion of Band Pass Signals, Sampling rate conversion by an arbitrary factor, Applications of Multirate Signal Processing, Digital Filter banks, Two Channel Quadrature Mirror Filter banks, M-Channel QMF bank.(Ref.1 Chap. 11) Adaptive Filters: Applications of Adaptive Filters, Adaptive Direct Form FIR Filters- The LMS Algorithm, Adaptive Direct Form Filters-RLS Algorithm. (Ref.1 Chap. 13) References: 1. Proakis and Manolakis, “Digital Signal Processing”, Prentice Hall 1996. (third edition). 2. Roberto Cristi, “Modern Digital Signal Processing”, Cengage Publishers, India, (erstwhile Thompson Publications), 2003. 3. S.K. Mitra, “Digital Signal Processing: A Computer Based Approach” , III Ed, Tata McGraw Hill, India, 2007. 4. E.C. Ifeachor and B W Jarvis, “Digital Signal Processing, a practitioners approach,” II Edition, Pearson Education, India, 2002 Reprint. -------------------------------------------------- Laboratory Experiments: I. Modern Digital Signal Processing

i. Using MATLAB

Page 13: LINEAR ALGEBRA Subject Code

13

1 Question based on response of LTI systems to different inputs A LTI system is defined by the difference equation y[n]=x[n]+x[n-1]+x[n-2]. (a) Determine the impulse response of the system and sketch it. (b) Determine the output y[n] of the system when the input is x[n]=u[n]. (c) Determine the output of the system when the input is a complex exponential (Eg. x[n]=2ej0.2πn).

2.Question on design of simple digital filter using the relationship between

pole and zeros and the frequency response of the system Design a simple digital FIR filter with real co-efficients to remove a narrowband (i.e., sinusoidal) disturbance with frequency F0=50 Hz. Let Fs=300 Hz be the sampling frequency. (a) Determine the desired zeros and poles of the filter. (b) Determine the filter coefficients with the gain K=1 (c) Sketch the magnitude of the frequency response. 3 Question on simple digital filtering using the relationship between pole and zeros and the frequency response of the system Design an IIR filter with real co-efficients with same specifications mentioned in Q2 and repeat the steps (a) to (c). 4. Question to understand the effect of time domain windowing Generate a signal with two frequencies x(t)=3cos(2πF1t) + 2cos(2πF2t) sampled at Fs=8 kHz. Let F1=1 kHz and F2=F1+∆ and the overall data length be N=256 points. (a) From theory, determine the minimum value of ∆ necessary to distinguish between the two frequencies. (b) Verify this result experimentally. Using the rectangular window, look at the DFT with several values of ∆ so that you verify the resolution. (c) Repeat part (b) using a Hamming window. How did the resolution change? 5 Comparison of DFT and DCT (in terms of energy compactness) Generate the sequence x[n]=n-64 for n=0,…127. (a) Let X[k]=DFT{x[n]}. For various values of L, set to zero the “high frequency coefficients” X[64-L]=….X[64]=…….=X[64+L]=0 and take the inverse DFT. Plot the results. (b) Let XDCT[k]=DCT(x[n]}. For the same values of L, set to zero the “high frequency coefficients” XDCT[127-L]=…….XDCT[127]. Take the inverse DCT for each case and compare the reconstruction with the previous case. 6 Filter design Design a discrete time low pass filter with the specifications given below:

Page 14: LINEAR ALGEBRA Subject Code

14

Sampling frequency = 2 kHz. Pass band edge = 260 Hz Stop band edge = 340 Hz Max. pass band attenuation = 0.1 dB Minimum stop band attenuation = 30 dB Use the following design methodologies: Hamming windowing Kaiser windowing Applying bilinear transformation to a suitable, analog Butterworth filter. Compare the obtained filters in terms of performance (accuracy in meeting specifications) and computational complexity. ii. Using DSP PROCESSOR 1 Write an ALP to obtain the response of a system using linear convolution whose input and impulse response are specified. 1.Write an ALP to obtain the impulse response of the given system, given the difference equation. . 2.Sampling of an Image. 3.Design of equiripple filters. 4.Application of frequency transformation in filter design. 5.Computation of FFT when N is not a power of 2. 6.Sampling rate conversion and plot of spectrum. 7.Analysis of signals by STFT and WT. 8.Delayed auditory feedback signal using 6713 processor. 9.Record of machinery noise like fan or blower or diesel generator

and obtaining its spectrum. 11. Synthesis of select dual tone multi frequency signals using 6713 processor. 12. Fourier Transform & its inverse Fourier Transform of an image. Any other experiments can be added to supplement the theory. RF MEMS Subject Code : 12EC127 IA Marks : 50 No. of Lecture Hours /week : 04 Exam Hours : 03 Total no. of Lecture Hours : 52 Exam Marks : 100

Review – Introduction to MEMS. Fabrication for MEMS, MEMS transducers and Actuators . Micro-sensing for MEMS, Materials for MEMS.(Ref.1, Chap.1)

Page 15: LINEAR ALGEBRA Subject Code

15

MEMS materials and fabrication techniques – Metals, Semiconductors, thin films, Materials for Polymer MEMS, Bulk Machining for silicon based MEMS, Surface machining for Silicon based MEMS, Micro Stereo Lithography for Polymer MEMS.(Ref.1, Chap.2) RF MEMS Switches and micro – relays. Switch Parameters, Basics of Switching, Switches for RF and microwave Applications , Actuation mechanisms, micro relays and micro actuators, Dynamics of Switch operation, MEMS Switch Design and design considerations. MEMS Inductors and capacitors.(Ref.1, Chap.3 & 4) Micromachined RF Filters and Phase shifters. RF Filters, Modeling of Mechanical Filters, Micromachanical Filters, SAW filters – Basics, Design considerations. Bulk Acoustic Wave Filters, Micromachined Filters for Millimeter Wave frequencies. Micromacbined Phase Shifters, Types and Limitations, MEMS and Ferroelectric Phase shifters, Applications. (Ref.1, Chap.5) Micromachined transmission lines and components. Micromachined Transmission Lines – Losses in Transmission lines, coplanar lines, Meicroshield and membrane supported lines, Microshield components, Micromachined waveguides, directional couplers and mixers, Resonators and Filters..(Ref.1, Chap.6 & 7) Micomachined antennas. Design, Fabrication and Measurements. Integration and Packaging for RF MEMS. Roles and types of Packages, Flip Chip Techniques, Multichip module packaging and Wafer bonding, Reliability issues and Thermal issues. (Ref.1, Chap.8 & 9) References Books :

1. RF MEMS – V K Varadan, A Laktakia and K J Vinoy, John Wiley, 2003 Reprint

2. RF MEMS Circuit Design J De Los Santos, Artech House, 2002 3. Transaction Level Modeling with SystemC: TLM Concepts and Applications for Embedded Systems, by , ,Frank GhenassiaSpringer 2005

4. Networks on Chips: Technology and Tools, by Luca Beninid , Morgan Kaufmann , Publishers 2006.

Page 16: LINEAR ALGEBRA Subject Code

16

OPTICAL COMMUNICATION & NETWORKING Subject Code : 12EC059 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Introduction: Propagation of signals in optical fiber, different losses, nonlinear effects, solitons, optical sources, detectors. Optical Components: Couplers, isolators, circulators, multiplexers, filters, gratings, interferometers, amplifiers. Modulation — Demodulation: Formats, ideal receivers, Practical detection receivers, Optical preamplifier, Noise considerations, Bit error rates, Coherent detection. Transmission System Engineering: system model, power penalty, Transmitter, Receiver, Different optical amplifiers, Dispersion. Optical Networks: Client layers of optical layer, SONET/SDH, multiplexing, layers, frame structure, ATM functions, adaptation layers, Quality of service and flow control, ESCON, HIPPI. WDM Network Elements: Optical line terminal optical line amplifiers, optical cross connectors, WDM network design, cost trade offs, LTD and RWA problems, Routing and wavelength assignment, wavelength conversion, statistical dimensioning model. Control and Management: network management functions, management frame work, Information model, management protocols, layers within optical layer performance and fault management, impact of transparency, BER measurement, optical trace, Alarm management, configuration management. Suitable number of Assignments / Tutorials can be given based on the syllabus. Reference Books:

1.John M. Senior, “Optical Fiber Communications”, Pearson edition, 2000. 2.Rajiv Ramswami, N Sivaranjan, “Optical Networks”, M. Kauffman Publishers, 2000. 3.Gerd Keiser, “Optical Fiber Communication”, MGH, 1 991. 4.G. P. Agarawal, “Fiber Optics Communication Systems”, John Wiley NewYork, 1997 5.P.E. Green, “Optical Networks”, Prentice Hall, 1994.

Page 17: LINEAR ALGEBRA Subject Code

17

ELECTIVE II

WIRELESS SENSOR NETWORKS Subject Code : 12EC132 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Fundamental Properties and Links: - Information-theoretic Bounds on Sensor Networks Performance: Introduction, Sensor Network Models, Digital Architecture, The price of Digital Architectures, Bounds on General Architecture. In-Network Information Processing in Wireless Sensor Networks: Introduction, Communication Complexity Model, Comparing Functions over Wireless Networks; Special Reuse and Block Computation, Wireless Networks with Noise Communications; Reliable Computation in a Collocated Broadcast Network, Towards an Information Theoretic Formulation. The Sensing Capacity of Sensor Networks: Introduction, Sencing Capacity of Sensor Networks, Extensions to Other Sensor Network Models. Law of Sensor Network Lifetime and Its Applications: Introduction, Low of Network Lifetime and General Design Principles, Fundamental Performance Limit: A Stochastic Shortest Path Framework, Distributes Asymptotically Optimal Transmission Scheduling, A Brief Overview of Network Lifetime Analysis. Signal Processing for Sensor Networks: - Detection in Sensor Networks: Centralized Detection, Decentralized Detection in Wireless Sensor Networks, Wireless Sensor Networks, New Paradigms, Extension and Generalization. Distributed Estimation under Bandwidth and Energy Constrains: Distributed Quantization Estimation, Maximum Likelihood Estimation, Unknown Noise pdf, Estimation of Vector Parameters, Maximum a Posterior Probability Estimation, Dimensionality Reduction for Distributed Estimation, Distortion-Rate Analysis.

Page 18: LINEAR ALGEBRA Subject Code

18

Distributed Learning in Wireless Sensor Networks: Introduction, Classical Learning, Distributed Learning in Wireless Sensor Networks, Distributed Learning in WSNs with a Fusion Center, Distributed Learning in Ad-hoc WSNs with In-network Processing. Graphical Models and Fusion Sensor Networks: Introduction, Graphical Models, From Sensor Network Fusion to Graphical Models, Message Censoring, Approximation and Impact on Fusion, The effects of Message Approximation, Optimizing the Use of Constrained Resources in Network Fusion. Communication, Networking and Cross-Layered: - Randomized Cooperative Transmission in Large-Scale Sensor Networks: Introduction, Transmit Co-operation in Sensor Networks, Randomized Distributed Co-operative Codes, Performance of Randomized Cooperation Codes, Analysis of Cooperative Large –scale Networks Utilizing Randomized Cooperative Codes. Application Dependent Shortest Path Routing in Ad-hoc Sensor Networks: Introduction, Fundamental SPR, SPR for Mobile Wireless Network, SPR for Ad-hoc Sensor Networks. Data-Center and Cooperative MAC Protocols for Sensor Networks: Introduction, Traditional Medium Access Control Protocols: Random Access and Deterministic Scheduling, Energy-Efficient MAC Protocols for Sensor Networks, Date-Centric MAC Protocols for Sensor Networks, Cooperative MAC Protocol for Independent Sensors, Cooperative MAC Protocol for Correlated Sensors. Game Theoretic Activation and Transmission Scheduling in Unattended Ground Sensor Networks: A Correlated Equilibrium Approach; Introduction, Unattended Ground Sensor Network, Sensor Activation as Correlated Equilibrium, Energy-Efficient Transmission Scheduling, Numerical Results. References Books: 1.Ananthram Swami et. el,” Wireless Sensor Networks: Signal Processing and Communication Perspectives”, John Wiley, 2007. COMMUNICATION SYSTEM DESIGN USING DSP ALGORITHMS

Page 19: LINEAR ALGEBRA Subject Code

19

Subject Code : 12EC120 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Introduction to the course. Digital filters, Discrete time convolution and Frequency Responses. FIR filters. Using circular buffers to Implement FIR filters in C and using DSP Hardware. Interfacing C and assembly functions. Linear assembly code and the Assembly Optimizer. IIR filters. Realisation and implementation. FFT and Power Spectrum estimation: DTFT. Window functions. DFT and IDFT. FFT. Using FFT to implement Power Spectrum. Analog Modulation Schemes: Amplitude Modulation: Theory, Generation and Demodulation of AM. Spectrum of AM signal. Envelop detection and square law detection. Hilbert transform and complex envelope. DSP implementation of Amplitude Modulation and demodulation. DSB – SC : Theory, Generation of DSB – SC and demodulation using coherent detection and costos loop. Implementation of DSB – SC using DSP Hardware. SSB: Theory. SSB modulators. Coherent demodulator. Frequency translation. Implementation using DSP Hardware. Frequency modulation: Theory. Single tone FM. Narrow band FM. FM Bandwidth. FM demodulation. Discrimination and PLL methods. Implementation using DSP Hardware

Digital Modulation Schemes: PRBS and Data Scramblers: Generation of PRBS. Self synchronizing Data Scramblers. Implementation of PRBS and Data Scramblers. RS – 232C Protocol and BER tester: The protocol, Error rate for Binary signaling on the Gaussian Noise channel. 3 bit error rate tester and implementation. PAM and QAM: PAM. Theory, Base – band pulse shaping and ISI. Implementation of Transmit Filter and Interpolation filter bank. Simulation and theoretical exercises for PAM. Hardware exercises for PAM. QAM. Fundamentals. Basic QAM transmitter. Two constellation examples. QAM structure using passband Shaping filters. Ideal QAM demodulation. QAM experiments. QAM receiver – Clock recovery and other front end subsystems. Equaliser and Carrier recovery systems. Experimnents for QAM receiver front end. Adaptive equalizer.Phase splitting Fractionally spaced equalizer. Decision directed carrier tracking. Blind equalization. Complex Cross Coupled equalizer and Carrier tracking experiments..

Page 20: LINEAR ALGEBRA Subject Code

20

Echo Cancellation for Full Duplex Modems: Multi Carrier Modulation. ADSL Architecture. Components of simplified ADSL Transmitter. A simplified ADSL receiver.Implementing simple ADSL transmitter and receiver. References Books: 1. Roberto Cristi, “Modern Digital Signal Processing”, Cengage

Publishers, India, (erstwhile Thompson Publications), 2003. 2. S.K. Mitra, “Digital Signal Processing: A Computer Based

Approach” , III Ed, Tata McGraw Hill, India, 2007. 3. E.C. Ifeachor and B W Jarvis, “Digital Signal Processing, a

practitioners approach”, II Edition, Pearson Education, India, 2002 Reprint.

4. Proakis and Manolakis, “ Digital Signal Processing”, Prentice Hall 1996 (third edition).

CRYPTOGRAPHY AND NETWORK SECURITY

Subject Code : 12EC023 IA Marks : 50 No. of Lecture Hours /week : 04 Exam Hours : 03 Total no. of Lecture Hours : 52 Exam Marks : 100

Overview: Services, Mechanisms and attacks, OSI security architecture, Model for network security. Classical Encryption Techniques: Symmetric cipher model, Substitution techniques, Transposition techniques, Rotor machine, Steganography, Problems. Block Ciphers and DES (Data Encryption Standards): Simplified DES, Block cipher principles, DES, Strength of DES, Block cipher design principles, Block cipher modes of operation, Problems. Public Key Cryptography and RSA: Principles of public key cryptosystems, RSA algorithm, Problems. Other Public Key Crypto Systems and Key Management: Key management, Diffie-Hellman key exchange, Elliptic curve arithmetic, Elliptic curve cryptography, Problems. Message Authentication and Hash Functions: Authentication requirements, Authentication functions, Message authentication codes, Hash functions, Security of hash functions and MAC’s, Problems.

Page 21: LINEAR ALGEBRA Subject Code

21

Digital Signature and Authentication Protocol: Digital signature, Authentication protocols, Digital signature standard. Authentication Applications: Kerberos, X.509 authentication service, Kerberos encryption technique, Problems. Electronic Mail Security: Pretty good privacy, S/MIME, Data compression using ZIP, Radix-64 conversion, PGP random number generator. IP Security: Overview, IP security architecture, Authentication header, ESP (encapsulating security pay load), Security associations, Key management, Problems.) Firewalls: Firewall design principles; Trusted systems, Problems. Reference Books:

1.William Stallings, “Cryptography and Network Security,” 3rd edition, Pearson Education (Asia) Pte. Ltd./ Prentice Hall of India, 2003. 2.C. Kaufman, R. Perlman, and M. Speciner, "Network Security: Private Communication in a Public World”, 2nd edition, Pearson Education (Asia) Pte. Ltd., 2002. 3.Atul Kahate, “Cryptography and Network Security”, Tata McGraw-Hill, 2003. 4.Eric Maiwald, “Fundamentals of Network Security”, McGraw-Hill, 2003.

III - SEMESTER

ERROR CONTROL CODING Subject Code : 12EC039 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Marks : 03

Total No. of Lecture Hours : 52 Exam Hours : 100

Introduction to Algebra: Groups, Fields, Binary Field Arithmetic, Construction of Galois Field GF (2m) and its basic properties, Computation using Galois Field GF (2m) Arithmetic, Vector spaces and Matrices.(Ref.1 Chap.2)

Page 22: LINEAR ALGEBRA Subject Code

22

Linear Block Codes: Generator and Parity check Matrices, Encoding circuits, Syndrome and Error Detection, Minimum Distance Considerations, Error detecting and Error correcting capabilities, Standard array and Syndrome decoding, Decoding circuits, Hamming Codes, Reed – Muller codes, The (24, 12) Golay code, Product codes and Interleaved codes.(Ref.1 Chap.3) Cyclic Codes: Introduction, Generator and Parity check Polynomials, Encoding using Multiplication circuits, Systematic Cyclic codes – Encoding using Feed back shift register circuits, Generator matrix for Cyclic codes, Syndrome computation and Error detection, Meggitt decoder, Error trapping decoding, Cyclic Hamming codes, The (23, 12) Golay code, Shortened cyclic codes.(Ref.1 Chap.5) BCH Codes: Binary primitive BCH codes, Decoding procedures, Implementation of Galois field Arithmetic, Implementation of Error correction. Non – binary BCH codes: q – ary Linear Block Codes, Primitive BCH codes over GF (q), Reed – Solomon Codes, Decoding of Non – Binary BCH and RS codes: The Berlekamp - Massey Algorithm.(Ref.1 Chap.6) Majority Logic Decodable Codes: One – Step Majority logic decoding, one – step Majority logic decodable Codes, Two – step Majority logic decoding, Multiple – step Majority logic decoding.(Ref.1 Chap.8) Convolutional Codes: Encoding of Convolutional codes, Structural properties, Distance properties, Viterbi Decoding Algorithm for decoding, Soft – output Viterbi Algorithm, Stack and Fano sequential decoding Algorithms, Majority logic decoding(Ref.1 Chap.11) Concatenated Codes & Turbo Codes: Single level Concatenated codes, Multilevel Concatenated codes, Soft decision Multistage decoding, Concatenated coding schemes with Convolutional Inner codes, Introduction to Turbo coding and their distance properties, Design of Turbo codes.(Ref.1 Chap.15) Burst – Error – Correcting Codes: Burst and Random error correcting codes, Concept of Inter – leaving, cyclic codes for Burst Error correction – Fire codes, Convolutional codes for Burst Error correction.(Ref.1 Chap.21)

Reference Books:

1.Shu Lin & Daniel J. Costello, Jr. “Error Control Coding ” Pearson / Prentice Hall, Second Edition, 2004. (Major Reference) 2.Blahut, R.E. “Theory and Practice of Error Control Codes”

Addison Wesley, 1984

Page 23: LINEAR ALGEBRA Subject Code

23

ELECTIVE III

STATISTICAL SIGNAL PROCESSING

Subject Code : 12EC076 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Random Processes: Random variables, random processes, white noise, filtering random processes, spectral factorization, ARMA, AR and MA processes. (Ref.1 Chap.3) Signal Modeling: Least squares method, Padé approximation, Prony's method, finite data records, stochastic models, Levinson-Durbin recursion; Schur recursion; Levinson recursion. (Ref.1 Chap.4&5) Spectrum Estimation: Nonparametric methods, minimum-variance spectrum estimation, maximum entropy method, parametric methods, frequency estimation, principal components spectrum estimation.(Ref.1 Chap.8) Optimal and Adaptive Filtering: FIR and IIR Wiener filters, Discrete Kalman filter, FIR Adaptive filters: Steepest descent, LMS, LMS-based algorithms, adaptive recursive filters, RLS algorithm. (Ref.1 Chap.7&9) Array Processing: Array fundamentals, beam-forming, optimum array processing, performance considerations, adaptive beam-forming, linearly constrained minimum-variance beam-formers, side-lobe cancellers, space-time adaptive processing.(Ref.2 Chap.11) Reference Books:

1.Monson H. Hayes, “Statistical Digital Signal Processing and Modeling” , John Wiley & Sons (Asia) Pte. Ltd., 2002. 2.Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon, "Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing”, McGraw-Hill International Edition, 2000. 3.Bernard Widrow and Samuel D. Stearns, "Adaptive Signal Processing”, Pearson Education (Asia) Pte. Ltd., 2001. 4.Simon Haykin, "Adaptive Filters”, Pearson Education (Asia) Pte. Ltd, 4th edition, 2002. 5.J.G. Proakis, C.M. Rader, F. Ling, C.L. Nikias, M. Moonen and I.K. Proudler, "Algorithms for Statistical Signal Processing”,

Page 24: LINEAR ALGEBRA Subject Code

24

RADAR SYSTEMS

Subject Code : 12EC068 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Introduction: Range equation, Transmitter and Receiver parameters and model, Types of Radars, Radar Signal Transmission; Transmitted Waveforms (Time and Frequency Domains), Energy, Radar signal analysis using autocorrelation and Hilbert Transform., Pulse Compression, Clutter — Properties, reduction, Coding and Chirp. Radar Antenna – Reflector types , side lobe control; -Arrays;- Array factor and Beam width, Synthetic Aperture, Adaptive Antennas; Propagation Effects- Multipath, Low Altitude, Ionosphere Radar Networks: Matched Filter Response and noise considerations Data Processing: Fast Fourier transform, Digital MTI, tracking, Plot Track, Applications: Secondary Surveillance, Multi static, Over the Horizon, Remote sensing and meteorological radars. Reference Books:

1. M.LSkolnjk; “Radar Handbook” 2. M.J.B.Scanlan; “Modem Radar Techniques”. 3 Peyton Z Peebles, “Radar Principles”, Wiley-Inter science

ADVANCED COMPUTER NETWORKS

Subject Code : 12EC004 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Introduction : Computer networks; Telephone networks, Networking principles;

Page 25: LINEAR ALGEBRA Subject Code

25

Multiple access, multiplexing - FDM, TDM, SM; Local area networks - Ethernet, token ring, FDDI; switching - circuit switching, packet switching, multicasting; Scheduling - Performance bounds, best effort disciplines, naming and addressing, protocol stack, SONET/SDH; ATM networks - AAL, virtual circuits, SSCOP; Internet -addressing, routing, end point control; Internet protocols - IP, TCP, UDP, ICMP, HTTP; Traffic management - Models, classes, scheduling; Control of networks - QoS, static and dynamic routing, Markov chains, queueing models, Bellman Ford and Dijkstra's algorithms, window and rate congestion control, large deviations of a queue and network, open and closed loop flow control, control of ATM networks. Reference Books:

1.J. Walrand and P. Varaya, “High Performance Communication Networks”, Harcourt Asia (Morgan Kaufmann), 2000. 2.S. Keshav, “An Engineering Approach to Computer Networking”, Pearson Education, 1997. 3.A. Leon-Garcia and I. Widjaja, “Communication Networks: Fundamental Concepts and Key Architectures”, Tata McGraw Hill, 2000. 4.J. F. Kurose and K. W. Ross, “Computer Networking: A Top-Down Approach Featuring the Internet”, Pearson Education, 2001.

ELECTIVE IV

WIRELESS AND MOBILE NETWORKS

Subject Code : 12EC131 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Page 26: LINEAR ALGEBRA Subject Code

26

Review of fundamentals of wireless communication and networks. Wireless communication channel specifications, wireless communication systems, wireless networks, switching technology, communication problems, wireless network issues and standards. Wireless body area networks (WBAN). Properties, network architecture, components, technologies, design issues, protocols and applications. Wireless personal area networks. Architecture, components, requirements, technologies and protocols, Bluetooth and Zigbee. Wireless LANS. Network components, design requirements, architectures, IEEE 802.11x, WLAN protocols, 802.11 p and applications. WMANs. IEEE 802.16, architectures, components, WiMax mobility support, protocols, broadband networks and applications. WWANs. Cellular networks, Satellite networks, applications. Wireless adhoc networks. Mobile adhoc networks, Sensor networks, Mesh networks, VANETs. Research issues in wireless networks. Reference Books: 1. S. S. Manvi, M. S. Kakkasageri, “Wireles and Mobile Network concepts and protocols”, Wiley, First edition, 2010. 2. P. Kaveh, Krishnamurthy, “Principles of wireless networks: Aunified approach”, PHI, 2006. 3. Iti Saha Mishra, “Wireless communication and networks 3G and beyond “, MGH, 2009 4. P. Nicopolitidis, M. S. Obaidat, etal., “Wireless Networks” , Wiley, 2009 5. Yi-Bing Lin, Imrich Chlamtac, “ Wireless and Mobile Network Architectures” , Wiley, 2009.

BROADBAND WIRELESS NETWORKS

Subject Code : 12EC119 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Wimax genesis and framework: 802.16 std., wimax forum, other 802.16 stds. Protocol layer topologies: layers of wimax, CS, MAC CPS, security layer, phy layer, reference model, topology.

Page 27: LINEAR ALGEBRA Subject Code

27

Frquency utilization and system profiles: cellualar concept, licensed and unlicensed frequencies, fixed wimax system profiles, mobile wimax profiles. Wimax physical layer: OFDM transmission, SOFDMA, subcarrier permutation, 802.16 transmission chains, channel coding, turbo coding, burst profile. Wimax MAC and QOS: CS layer, MAC function and frames, multiple access and burst profile, uplink bandwidth allocation and request mechanisms, network entry and QoS magmt. Radio engg considerations, radio resource management, advance antenna technology in wimax, MBS. Wimax architecture, mobility handover and power save modes. Security. Reference Books: 1.Loutfi Nuyami, “WIMAX: technology for broadband

access”,John Wiley, 2007 2.Yan Zhang, Hsia Hwa Chen, “Mobile WIMAX”, Aurobech

publications, 2008.

RF AND MICROWAVE CIRCUIT DESIGN

Subject Code : 12EC071 IA Marks : 50

No. of Lecture Hours/Week : 04 Exam Hours : 03

Total No. of Lecture Hours : 52 Exam Marks : 100

Wave Propagation in N/W: Introduction, reasons for using RF/Micro waves, applications, RF waves, RF and Microwave circuit design, introduction to component basics, analysis of simple circuit phasor domain, RF impedance matching, properties of waves, transmission media, micro strip lines, high frequency parameters, formulation of S-parameters, properties, transmission matrix, generalized S-parameters. Passive Circuit design: Introduction, Smith chart, scales, applications of Smith chart, design of matching N/Ws, definition of impedance matching, matching using lumped and distributed elements. Basic consideration in active N/Ws and design of amplifiers, oscillators, and detectors: Stability considerations, gain considerations, noise considerations. Linear and non linear design, introduction, types of amplifiers, design of different

Page 28: LINEAR ALGEBRA Subject Code

28

types of amplifiers, multi stage small signal amplifiers, design of transistor oscillators, detector losses, detector design. Mixers, phase shifters and RF and Microwave IC design: Mixer types, conversion loss for SSB mixers, one diode mixer, phase shifters, digital phase shifters, semiconductor phase shifters, RF and microwave IC design, MICs, MIC materials, types of MICs, hybrid vs monolithic ICs, chip materials. Text Book: 1. Matthew. M. Radmanesh “RF and microwave electronics illustrated”, Pearson Edn Edition, 2004 Ref Book:

1. Reinhold Ludwig and pavel Bretchko “RF circuit design, theory and applications”, Pearson Edn Edition, 2004