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    M. Tech. Communication Engineering Syllabus

    ET 951Mathematical Foundations for CommunicationEngineering

    L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE Total ESE Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    To introduce the concepts of linear algebra and its applications in the field of communication

    Engineering.To introduce the fundamentals of probability theory and random processes and

    illustrate these concepts with Communication engineering applications such as signal processing

    and digital communications.

    Unit I

    Linear Equations, Matrices, Determinants, Vector Spaces, Eigen values and Eigen vectors.

    Unit II

    Introduction to Probability: Different kinds of probability, axiomatic definition of probability, Joint,

    Conditional and total probability, Bayes theorem

    Unit III

    Random variables: Definition of random variable, Probability distribution function, Probability

    density function, density functions, continuous, discrete and mixed random variables.

    Unit IV

    Functions of random variables: functions of one random variable, functions of two random variables

    Unit V

    Gaussian Q-function, Marcum Q-function; Stochastic Processes: Types of Stochastic Process,

    Random Variables from Random Processes, Poisson Process, Brownian motion Process, Stationary

    Process, Gaussian process.

    Unit VI

    Field Theory, Algebraic extensions; Introduction to Queuing Theory and Number Theory

    Textbook:

    1. H. Stark, J.W Woods, Probability and Random Processes, Pearson Education, 2002

    Reference Books:

    1. R D Yates, D J Goodman, Probability and Stochastic Processes, John Wiley and Sons,

    19992.

    2. K. Huffman, R. Kunze, Linear Algebra, Prentice Hall of India, 1998

    3. Bertasekas and R Gallagher, Data networks, PHI, 1989.

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    ET 952 Passive RF Circuits and Systems L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    To understand and study the design of RF circuits in communication systems. This course will help

    in Resonator and RF Filter designing, Study of RF Active components, RF transistor amplifier

    design, Oscillators and mixers used in RF design.

    Unit I: Review of Basic Transmission Line Theory, Planar Transmission Lines - Stripline,

    microstrip line, Suspended strip line and coplanar line; Parallel coupled lines in Stripline and

    microstripAnalysis, Design and characteristics.Unit II: Microwave Network Analysis - Microwave network representation, Impedance and

    admittance matrices, Scattering parameters, Typical two-port, three port, four port networks;

    Impedance Matching Techniques - Smith chart, Matching networks using lumped elements, Single-

    and double-stub matching, Quarter wave transformer.

    Unit III: Basic Passive Components -Lumped elements in MIC, Discontinuities and resonators in

    microstrip, Analysis and design of Stripline/microstrip components- Directional couplers, Power

    divider, Hybrid ring.

    Unit IV: Switches and Phase Shifters Basic series and shunt switches in microstrip; SPST and

    SPDT switches, Switched line, branch line coupled and loaded line phase shifters in microstrip,

    Applications in phased arrays.

    Unit V: MIC Filters - Lumped element filter design at RF. Impedance and Low pass scaling,

    Frequency transformation, High impedance/Low impedance low pass filter, Parallel coupled band

    pass filter, Spur line band stop filter, Realization in microstrip and suspended stripline

    Unit VI: Basics of MIC, MMIC and MEMS technologies - Substrates used.

    Text book:

    1. M.M. Radmanesh, Radio Frequency and Microwave Electronics, Pearson Education Asia,

    2001

    References:

    1. B. Bhat & S.K. Koul, Stripline-like Transmission Line for Microwave Integrated Circuits,

    New Age Intl. (P) Ltd., 1989.

    2. D. K. Misra, Radio Frequency and Microwave Communication Circuits Analysis andDesign, John Wiley & Sons, 2001.

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    3. D. M. Pozar, Microwave Engineering, 2nd Edition, John Wiley & Sons, 1998.ET 953 Passive RF Circuits and Systems Lab L=0 T=0 P=2 Credits=2

    EvaluationScheme

    Continuous EvaluationESE Total

    ESEDuration

    40 60 100

    Practicals:- Experiments based on the above syllabus.

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    ET 954 Advanced Digital Communication L=3 T=0 P=0 Credits=6

    Evaluation

    Scheme

    MSE-I MSE-II TA ESE Total ESE

    Duration

    15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course discusses the principles that underline the analysis and design of digital communication

    systems. The focus is on the reliable transmission and reception of symbols over noisy channels.

    The students will explore linear and nonlinear modulation techniques, various channels like AWGN

    and fading, Synchronization techniques, Equalization techniques and MIMO channels

    Unit-I

    Review of fundamental concepts and parameters in Digital Communications, Performance of BPSKand QPSK in AWGN channel, Performance of binary FSK and M-ary PSK in AWGN channel.

    Unit-II

    Minimum Shift Keying (MSK) Modulation, GMSK, Continuous Phase Modulation (CPM) Schemes

    Channel Characterization and Modeling, Orthogonal Frequency Division Multiplexing (OFDM),

    Carrier Synchronization, Timing synchronization.

    Unit-III

    Representations of band pass signal and systems, signal space representation, representation of

    digitally modulated signals, spectral characteristics of digitally modulated signals.

    Unit-IV

    Optimum receiver for signals corrupted by AWGN, performance of the Optimum receiver for

    memory less modulation, Optimum receiver for CPM signals Optimum receiver for signal with

    random phase in AWGN channel.

    Unit-V

    Spread spectrum signals for digital communications: Introduction to Spread Spectrum Modulation,

    DSSS, FHSS, and CDMA signals, Code Acquisition and Tracking, Spread Spectrum as a Multiple

    Access Technique.

    Unit-VI

    Multichannel and Multicarrier Systems; Digital Communications through Fading Multipath

    channels; Multi User Communications.

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    Text Books:

    1. Digital Communications, J.G.Proakis 4th

    Edition,McGraw Hill, 1995

    2. Digital Communications, Simon HaykinJohn Wiley & Sons , 1998

    Reference Books:

    1. Principles of Digital Communications and Coding J. Viterbi and J. K. Omura, , McGraw

    Hil,1979

    2. Spread Spectrum Communications Marvin K. Simon, Jim K Omura, Robert A. Scholtz,

    Barry K.Levit, , 1995.

    3. CDMA Principles of Spread Spectrum Communications Andrew J Viterbi, , Addison

    Wesley, 1995.

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    ET 955 Advanced Digital Communication Lab L=0 T=0 P=2 Credits=2

    EvaluationScheme

    Continuous EvaluationESE Total

    ESEDuration

    40 60 100

    Practicals:- Experiments based on the above syllabus.

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    ET 956 Advanced Digital Signal Processing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    Advances in Digital Signal Processing involve variable sampling rates, applications in

    communication systems and signal processing. Linear adaptive filters are studied. It is intended to

    introduce a course in multirate signal processing, filtering and spectrum estimation.

    Unit-I:

    Review of sampling theory. Sampling rate conversion by integer and rational factors. Efficient

    realization and applications of sampling rate conversion.

    Unit-I

    Wiener filtering. Optimum linear prediction. Levinson- Durbin algorithm. Prediction error filters.

    Unit-II

    Adaptive filters. FIR adaptive LMS algorithm. Convergence of adaptive algorithms. Fast

    algorithms. Applications; Noise canceller, echo canceller and equalizer.

    Unit-III

    Transform domain adaptive filters

    The orthogonalization property of orthogonal transforms

    The transform domain LMS algorithm

    Unit-IV

    Recursive least squares algorithms. Matrix inversion lemma. Convergence analysis of the RLS

    algorithm.

    Unit-V

    Adaptive beam forming. Kalman filtering.

    Unit-VI

    Spectrum estimation. Estimation of autocorrelation. Periodogram method. Nonparametric methods.

    Parametric methods.

    Fast RLS algorithm

    Least square forward prediction, Least square backward prediction, least square lattice, The RLS

    algorithm, The FTRLS algorithm

    Case studies and Industrial Applications.

    Textbooks

    1.B.Farhang Boroujeny ,Adaptive Filters:Theory & Applications ,wiley Publication

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    1. J.G.Proakis et al, Advanced Digital Signal Processing, McGrawHill,1992

    2. S.Haykin, Adaptive Filter Theory (3/e), Prentice- Hall,1996

    References

    1 D.G.Manolakis et al, Statistical and Adaptive Signal Processing, McGraw-Hill,2005

    2 Marple, Spectral Analysis,

    3 M.H.Hays, Statistical Digital Signal Processing and Modeling, John-Wiley.

    ET 957 Advanced Digital Signal Processing Lab L=0 T=0 P=2 Credits=2

    EvaluationScheme

    Continuous Evaluation ESE Total ESEDuration

    40 60 100

    Practicals :- Experiments based on the above syllabus.

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    ET 958 Error Control Coding L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    The purpose of the course is to present error correction/detection coding in a modern setting,

    covering both traditional concepts thoroughly as well as modern developments in soft-decision and

    iteratively decoded codes and recent decoding algorithms for algebraic codes.

    Unit-I

    Coding for reliable digital transmission and storage. Groups, Rings, Vector Spaces, Galois Fields,

    Polynomial rings.

    Unit-IIChannel models, Linear Block codes, Cyclic codes, BCH codes, Reed Solomon Codes, Berlekamp-

    Massey and Euclid decoding algorithm, Decoding beyond the minimum distance Parameter,

    Applications of Reed-Solomon codes.

    Unit-III

    Convolution codes, decoding algorithms for Convolution codes, Viterbi, Stack and Fano algorithms,

    Application of Convolution codes.

    Unit-IV

    Codes based on the Fourier Transform, Algorithms based on the Fourier Transform.

    Unit-V

    Trellis coded Modulation, Combinatorial description of Block and Convolution codes, Algorithms

    for the construction of minimal and tail biting trellises.

    Unit-VI

    Soft decision decoding algorithms, Iterative decoding algorithms, Turbo-decoding, Two-way

    algorithm, LDPC codes, Use of LDPC codes in digital video broadcasting, belief propagation (BP)

    algorithms, Space-Time codes.

    Textbooks:

    1. Shu Lin and Danicl J. Costello Jr., Error Control Coding: Fundamentals and Applications,

    Prentice Hall, 2003.

    References:

    1. S. B Wicker, Error Control Systems for Digital Communication and Storage, Prentice Hall

    International, 1995.

    2. Blahut R. E, Theory and Practise of Error Control Codes, Addisson Wesley, 1983.

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    3. Blahut R.E., Algebraic codes for Data transmission, Cambridge University Press, 2003.

    4. Johannesson R and Zigangirov K.S, Fundamentals of Convolutional codes, IEEE press,

    1999.

    5. V. S Pless and W. C Huffman, A. Vardy, Trellis structure of codes, Chapter 24 of Handbook of

    Coding Theory.

    6. Todd K Moon Error Correction Coding-Mathematical methods & algorithms, Wiley

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    ET 959 Embedded Systems L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    The course introduces us with the basics of embedded systems, familiarity with the Optimizing

    Design Metrics, processor technology, IC technology, design technology, hardware, the software,

    peripherals, memory and interfacing and tradeoffs.

    Unit I: Embedded Systems, Introduction, Design Metrics, Processor Technology, IC Technology,

    Design Technology, Design Productivity Gap, Custom Single purpose Processor Design, RT level

    design, FSMD, Datapaths, Optimization, Instruction set simulators for simple processors, State

    Machine and Concurrent process models, HCFSM, PSM

    Unit II: Architectural Features Of ARM: Processor modes, Register organization, Exceptions and

    its handling, Memory, Memory-mapped I/Os, ARM and THUMB instruction sets, Addressing

    modes, DSP extensions, ARM sample codes,ARM7/9 Core: H/W architecture, Timing diagrams for

    Memory access, Co-processor interface, Debug support, Scan chains, Embedded Real Time ICE,

    Hardware and software breakpoints

    Unit III: Buses: AMBA, ASB, APB, Case study of Intel XSCALE architecture or Samsung ARM

    implementations, Development tool like Compilers, Debuggers, IDE etc.

    Unit IV: DSP Architecture: MAC, Modified bus structures and Memory access schemes, Multiple

    access Memory , Multi-ported memory, VLIW architecture, Pipelining, Special addressing modes,

    On chip peripherals.

    Unit V: 32 bit floating point DSP Processor: Introduction, features, Applications, Block diagram,

    Internal architecture, CPU & data paths, Functional units, Addressing modes, Memory architecture,

    External memory accesses, Pipeline operation, Peripherals

    Unit VI: Assembly language programming. Hardware tools: DSP and other DSP boards Software

    tools: Assembly language tools, DSP simulator, C compiler and C source debugger, Simulators,

    Works with a DSK.

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    Textbook:

    1. ARM System Developer's Guide: Designing and Optimizing , Sloss Andrew N, Symes

    Dominic, Wright Chris, Morgan Kaufman Publication.2004

    2. Digital signal processors ,B. Venkataramani, M Bhaskar, 1st Edition, Tata McGraw Hill ,

    2002

    References:

    1. ARM System-on-Chip Architecture, Steve furber ,2nd

    Edition, Pearson Education,2002

    2. Embedded System Design, Frank Vahid and Tony Givargis, 1st Edition ,Wiely Publication

    , 2002

    3. Technical references on www.arm.com

    4. Embedded System Design , Raj Kamal, , Tata McGraw Hill , 2003

    5. Technical reference manuals from TI

    http://www.arm.com/http://www.arm.com/
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    ET 960 Radar Signal Processing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course offer digital technology weather radar, microburst detection and digital correlators.

    Providing a broad outlook at modern theory as well as a review of all the developments in practical

    equipment design and construction in recent years.

    Unit-I

    Radar and its composite environment, Review of Radar range performance computations.

    Unit-IIDetection Processes, Sequential and adaptive processes.

    Unit-III

    Atmospheric effects, Sea and land Back scatter.

    Unit-IV

    Signal Processing concepts and waveform designs.

    Unit-V

    MTI & CW radars.

    Unit-VI

    Phase coding techniques, FM pulse compression waveforms, Metrological radar and system

    performance analysis.

    Textbook:

    1.F.E Nathanson, Radar Design Principles, Signal Processing and The Environment, PMI, 2004.

    Reference Books:

    1. R.J Sullivan, Radar Foundations for imaging and Advanced Concepts, PMI, 2004.

    2.J.C. Toomay, Principles of radar, PMI, 2004.

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    ET 961 Advanced Antenna Theory L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    The course aims at basic principles and theory of antennas. It gives the latest developments and

    advances on antennas and its physical concepts are emphasized.

    Unit-I

    Planar Antennas Microstrip rectangular and circular patch antennas. Analysis and design, Feeding

    Methods; Circularly polarized microstrip antennas, Broadbanding techniques. Printed slot antennas.

    Unit-II

    Array Theory Linear array; Broadside and end fire arrays, Self and mutual impedance of between

    Linear elements, grating lobe considerations. Planar array Array factor, beamwidth, directivity.

    Example of microstrip patches arrays and feed networks & analysis.

    Unit-III

    Electronic scanning. Broadband Antennas-Folded dipole, Sleeve dipole, Biconical antenna Analysis,

    characteristics, matching techniques.

    Unit-IV

    Yagi array of linear elements and printed version, Log-periodic dipole array. Frequency IndependentAntennas Planar spiral antenna, Log periodic dipole array.

    Unit-V

    Aperture Antennas- Field equivalence principle, Babinets principle. Rectangular waveguide horn

    antenna, Parabolic reflector antenna.

    Unit-VI

    Antennas for mobile communication. Handset antennas, Introduction to Smart antenna.

    Textbook

    1. C. A. Balanis, Antenna Theory and Design, John Wiley & Sons, 1997.

    2. J.D. Kraus, Antennas, McGraw-Hill, 1988.

    Reference Books:

    1 R.A. Sainati, CAD of Microstrip Antennas for Wireless Applications, Artech House, 1996.

    2. R. Garg, P. Bharhia, I. Bahl, and A. Ittipiboo, Microstrip Antenna design Handbook, Artech

    House.

    3. J. R. James, P.S. Hall and C.Wood, Microstrip Antennas: Theory & Design, Peter Peregrinns ,

    UK

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    ET 962 Advanced Antenna Theory Lab L=0 T=0 P=2 Credits=2

    EvaluationScheme

    Continuous EvaluationESE Total

    ESEDuration

    40 60 100

    Practicals:- Experiments based on the above syllabus.

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    ET 963 VLSI Signal Processing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES

    The students shall gain proficiency in subjects like the basic design of theory involved in VLSI

    for signal processing and communication systems , various software tools related to VLSI,

    Signal Processing and Communication Systems.

    Unit - I

    Introduction to DSP systemsTypical DSP algorithms, Data flow and Dependence graphs - critical

    path, Loop bound, iteration bound, longest path matrix algorithm, Pipelining and Parallel processing

    of FIR filters, Pipelining and Parallel processing for low power.Unit - II

    Retiming definitions and properties, Unfolding an algorithm for unfolding, properties of

    unfolding, sample period reduction and parallel processing application.

    UnitIII

    Folding transformation, Register minimisation techniques, Systolic architecture design, FIR systolic

    arrays, selection of scheduling vector, 2d systolic array design, systolic design for space

    representations containing delays.

    UnitIV

    Fast convolution Cook-Toom algorithm, modified Cook-Toom algorithm, Winograd algorithm,

    iterated convolution, cyclic convolution, Pipelined and parallel recursive filters Look-Ahead

    pipelining in first-order IIR filters, Look-Ahead pipelining with power-of-2 decomposition,

    Clustered look-ahead pipelining, Parallel processing of IIR filters, combined pipelining and parallel

    processing of IIR filters.

    Unit - V

    Bit-level arithmetic architecturesparallel multipliers with sign extension, parallel carry-ripple and

    carry-save multipliers, Design of Lyons bit-serial multipliers using Horners rule, bit-serial FIR

    filter, CSD representation, CSD multiplication using Horners rule for precision improvement,

    Distributed Arithmetic fundamentals and FIR filters

    Unit - VI

    Algorithmic strength reduction in filters and transforms 2-parallel FIR filter, 2-parallel fast FIR

    filter, DCT architecture, rank-order filters, Odd-Even merge-sort architecture, parallel rankorder

    filters.

    Numerical strength reductionsubexpression elimination, multiple constant multiplication, iterative

    matching, sub expression sharing in digital filters, additive and multiplicative number splitting.

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    Textbook:

    1. VLSI Digital Signal Processing Systems, Design and implementation ,Keshab K. Parhi,

    1st

    Edition, Wiley Interscience, 2007.

    Reference book:

    1. Digital Signal Processing with Field Programmable Gate Arrays, U. Meyer Baese, 2nd

    Edition, Springer, 2004

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    ET 964 Image & Video processing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    Objectives of the course is to provide an introduction to basic concepts and methodologies for

    digital image processing, and to develop a foundation that can be used as the basis for further study

    and research in this field. Concepts of video and standards are introduced.

    Unit I

    Digital image fundamentalsimage acquisition, representation, visual perception, quality measures,

    Sampling and quantization, basic relationship between pixels, imaging geometry, color spaces,

    Video spaces, analog and digital video interfaces, video standards.

    Unit II

    Two dimensional systems

    Properties, analysis in spatial, frequency and transform domains. Image transforms - DFT, DCT,

    Sine, Hadamard, Haar, Slant, KL transform, Wavelet transform.

    Unit III

    Image enhancement point processing, spatial filtering, Image restoration inverse filtering, de-

    blurring Video processing display enhancement, video mixing, video scaling, scan rate

    conversion,

    Unit IV

    Image compressionlossless and lossy compression techniques, standards for image compression

    JPEG, JPEG2000. Video compression motion estimation, intra and interframe prediction, perceptual

    coding, standards MPEG, H.264

    Unit V

    Image segmentationfeature extraction, region oriented segmentation.Unit VI

    Descriptors, Morphology, Image recognition

    Textbook:

    1. R. C. Gonzalez and R E Woods, Digital Image Processing, Pearson Education, 2002

    Reference Books:

    1. A K Jain, Fundamentals of Digital Image Processing, Pearson Education,1989

    2. W Pratt, Digital Image Processing, Wiley, 2001

    3. Al Bovik, Handbook of Image and Video, Academic Press, 2000

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    4. Keith Jack, Video Demystified, LLH, 2001.

    ET 965 Image & Video processing Lab L=0 T=0 P=2 Credits=2

    EvaluationScheme

    Continuous EvaluationESE Total

    ESEDuration

    40 60 100

    Practicals:- Experiments based on the above syllabus.

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    ET 966 Wireless Communications & Networks L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course provides an authoritative treatment of the fundamentals of mobile communications, one

    of the fastest growing areas of the modern telecommunications industry. It stresses the fundamentals

    of mobile communications engineering and the networks that are important for the design of any

    mobile system.

    Unit-I

    Radio Propagation Characteristics: Models for path loss, shadowing and multipath fading (delay

    Spread, coherence band width, coherence time, Doppler spread), Jakes channel model, DigitalModulation for mobile radio.

    Unit-II

    Analysis under fading channels: diversity techniques and RAKE Demodulator, channel coding

    techniques, multiple access techniques used in wireless mobile Communications.

    Unit-III

    Space time propagation, wireless channel, channel as a space time random field, Space time channel

    and signal models, capacity of space time channels, spatial diversity, space time Receivers, space

    time coding with channel knowledge, space time OFDM.

    Unit-IV

    Wireless networksWLAN, Bluetooth. Suitable mini-projects in the areas of Space-Time codes and

    OFDM.

    Unit-V

    The cellular concept: Frequency reuse: The basic theory of hexagonal cell layout: Spectrum

    efficiency, FDM / TDM cellular systems: Channel allocation schemes, Handover analysis, Erland

    capacity comparison of FDM / TDM systems and cellular CDMA. Discussion of GSM and CDMA

    cellular standards, Signaling and call control: Mobility management, location tracking.

    Unit-VI

    Wireless data networking, packet error modeling on fading channels, performance analysis of link

    and transport layer protocols over wireless channels: mobile data networking (Mobile IP): wireless

    data in GSM, IS - 95 and GPRS.5 Space time Wireless Communications

    Textbook:

    1. T.S. Rappaport, Wireless Communications: Principles and Practice, Prentice Hall, 2002.

    2. G.L. Stuber, Principles of Mobile Communications, Kluwer Academic, 1996.

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    References:

    1 J.G. Proakis, Digital Communication, McGraw Hill, 2000.

    2 Kumar, D. Manjunath and J. Kuri, Communication Networking, an Analytical Approach, Elsever,

    2004

    3 Paulraj, R. Nabar & D. Gore, Introduction to Space Time Wireless Communications, Cambridge

    University Press, 20034 C Sivarama Murthy and B S Manoj, Ad-Hoc Wireless Networks, Architectures and Protocols, PH, 2004.

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    ET 967 Selected Topics In Communication Systems L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course takes a unified view of the fundamentals of wireless communication and explains the

    web of concepts underpinning these advances at a level accessible to an audience with a basic

    background in probability and digital communication. Particular emphasis is placed on the interplay

    between concepts and their implementation in systems.

    Unit-I:

    Overview of fundamentals of Digital Communication

    Unit-II

    The Wireless Channel, Detection, Diversity And Channel Uncertainty

    Unit-III

    Capacity of Wireless channels

    Unit-IV

    Spatial Multiplexing and Channel modeling

    Unit-V

    Capacity and Multiplexing architectures

    Unit-VI

    Diversity-Multiplexing tradeoff and Universal Space Time Codes, Multi-user Communication.

    Textbooks

    1. David Tse, Pramod Viswanath, Fundamentals of Wireless Communications, Cambridge

    University Press, 2005.

    References:

    1. E. Biglieri, Coding for Wireless Channels, Springer, 2007

    2. E. Biglieri et al., MIMO Wireless Communications, Cambridge University Press, 2007.

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    ET 968 Speech & Audio processing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course provide with an overview of speech communication in its wide ranging aspects,from a

    discussion of how humans produce and perceive speech to details of computer based speech

    processing for diverse communication applications.

    Unit-I

    Speech Production human speech production mechanism, acoustic theory of speech production,

    Digital models for speech production. Speech perception human hearing, auditory psychophysics,

    JNDUnit-II

    Speech perception, auditory masking, models for speech perception.

    Unit-III

    Speech Analysis Time and frequency domain analysis of speech, speech parameter estimation,

    linear prediction.

    Unit-IV

    Speech Compression quality measures, waveform coding, source coders, Speech compression

    standards for personal communication systems. Audio processing characteristics of audio signals,

    sampling, Audio compression techniques, Standards for audio compression in multimedia

    applications, MPEG Audio encoding and decoding, audio databases and applications.

    Unit-V

    Speech synthesis text to speech Synthesis, letter to sound rules, syntactic analysis, timing and

    pitch segmental analysis. Speech

    Unit-VI

    RecognitionSegmental feature extraction, DTW, HMMs, approaches for speaker, speech and

    Language recognition and verification.

    Textbook

    1 Douglas OShaugnessy, Speech Communication Human and Machine, IEEE Press, 2000

    References:

    1 L R Rabiner, Digital Processing of Speech Signals, Pearson,1978

    2 T.F Quatieri , Discrete-time speech signal processing: Principles and Practise Pearson,2002

    3 Zi Nian Li, Fundamentals of Multimedia, Pearson Education, 2003.

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    ET 969 Detection and Estimation Theory L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    This course provides an introduction to the basic theory and techniques of signal detection and

    estimation. It provides essential background for engineers and scientists working in a number of

    fields, including communications, control, signal, and image processing, radar and sonar, radio

    astronomy, seismology, remote sensing, and instrumentation.

    UNIT I

    RandomDiscrete-time signals:- Review of probabilityRandom dataGeneration of Pseudo-

    random noiseFiltered signalsAutocorrelation and power spectral densitySampling band

    Limited random signals.

    UNIT II

    Detection of signals in noise: - Minimum probability of Error CriterionNeymanPerson criterion

    for Radar detection of constant and variableamplitude signalsMatched filters.

    UNIT III

    Optimum formulation Detection of Random signals Simple problems thereon with

    multisampling cases.

    UNIT IV

    Estimation of signals in noise:- Linear mean squared estimation Non linear estimatesMLP and

    ML estimates Maximum likelihood estimate of parameters of linear system. Simple problems

    thereon.

    UNIT V

    Recursive linear mean squared estimation:- Estimation of a signal parameter. Estimation of time-

    varying signals

    UNIT VI

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    Kalman filtering Filtering signals in noise Treatment restricted to two variable case only

    Simple problems.

    Text Books

    1. Signal processing: Discrete Spectral analysis, Detection and Estimation, Mischa

    Schwartz and Leonard Shaw, Mc-Graw Hill Book Company, 1975.

    References

    1. E.L. Van Trees, Detection, Estimation and Modulation Theory, Wiley,

    New York, 1968.

    2. Shanmugam and Breipohl, Detection of signals in noise and estimation, John Wiley

    &Sons, New York, 1985.

    3. Srinath, Rajasekaran & Viswanathan, Introduction to statistical Signal processing withApplications, Prentice Hall of India, New Delhi, 110 001,1989.

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    ET 970 Multimedia Communications L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    Course objective

    The objective of this course is to introduce technologies for multimedia communications and to

    address efficient representation of multimedia data, including video, image, and audio, and to

    deliver them over a variety of networks. In the coding aspect, the objective is to present state-of-the-

    art compression technologies.

    Unit I

    Representation of Multimedia Data, Concept of Non-Temporal and Temporal Media, Basic

    Characteristics of Non-Temporal Media, Images, Graphics, Text, Basic Characteristics of Temporal

    Media, Video, Audio, Animation, Basics of Morphing, Hypertext and Hypermedia, Multimedia

    Presentations, Synchronization.

    Unit II

    Compression of Multimedia Data, Basic concepts of Compression, Still Image Compression JPEG

    Compression,

    Unit III

    Natural Video Compression, MPEG-1&2 Compression Schemes, MPEG-4 Video Compression,

    Audio Compression Introduction to Speech and Audio Compression, MP3 Compression Scheme,

    Unit IV

    Management of Coded Data ,Stream management in MPEG-4 , BIFS, DMIF Multimedia System

    Design, General Purpose Architecture for Multimedia Processing,

    Unit V

    Operating System Support for Multimedia, Data, Resource Scheduling with real-time

    considerations, File System, I/O Device Management, Delivery of Multimedia data, Network and

    Transport Protocols, QoS issues, RTP and RSVP,

    Unit VI

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    Video-conferencing and video-conferencing standards, Overview of Voice over IP, Multimedia

    Information Management, Multimedia Data base Design, Content Based Information Retrieval,

    Image Retrieval, Video Retrieval, Overview of MPEG-7.

    Textbook

    1. Ralf Steinmetz and Klara Nahrstedt, Multimedia: Computing, Communication &Applications, Pearson Education Publications, 2004.

    References:

    1. Zi Nian Lee, Mark S Drew, Fundamentals of Multimedia, PHI.

    2. Nortel NetworksVoIP Technologies: A Comprehensive Guide to Voice over Internet

    Protocol (VoIP) Nortel Press

    http://www.amazon.com/s/ref=ntt_athr_dp_sr_1?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=Nortel%20Networkshttp://www.amazon.com/s/ref=ntt_athr_dp_sr_1?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=Nortel%20Networkshttp://www.amazon.com/s/ref=ntt_athr_dp_sr_3?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=Nortel%20Presshttp://www.amazon.com/s/ref=ntt_athr_dp_sr_3?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=Nortel%20Presshttp://www.amazon.com/s/ref=ntt_athr_dp_sr_1?_encoding=UTF8&sort=relevancerank&search-alias=books&field-author=Nortel%20Networks
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    ET 971 Active RF Devices and Circuits L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    Analyze microwave components and circuits in terms of scattering parameters. Determine the

    electrical characteristics of waveguides and transmission lines through electromagnetic field

    analysis. Design microwave amplifiers and oscillators based on stability, bandwidth, power, gain

    and noise figure criteria.

    Unit-I

    Transistor Amplifiers - Types of amplifiers. S parameter characterization of transistors; MOSFETs

    Equivalent circuit model.

    Unit II Single stage amplifier design- unilateral and bilateral cases, Amplifier

    Stability, Constant gain and noise circles, DC bias circuits for amplifiers; L

    Unit-II

    Detectors and Mixers - Point contact and Schottky barrier diodes. Characteristics and equivalent

    circuit, Theory of microwave detection, Detector circuit design.

    Unit-III

    Types of mixers. Mixer theory and characteristics. SSB versus DSB mixers. Single-ended mixer and

    single-balanced mixer. Design and realization in microstrip. Double balanced and image rejection

    mixers;

    Unit-IV

    Oscillators Oscillator versus amplifier design, Oscillation conditions; Gunn diode Modes of

    operation, Equivalent circuit. Design of Gunn diode oscillator in microstrip. FET oscillators.

    Frequency tuning techniques.

    Unit-V

    Switches and Phase Shifters - PIN diode Equivalent circuit and Characteristics, Basic series and

    shunt switches in microstrip;

    Unit-VI

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    SPST and SPDT switches, Switched line, branch line coupled and loaded line phase shifters in

    microstrip. Applications in phased arrays.

    Unit VI PLL / or merge with oscillator

    Low Noise amplifier and Power amp in Unit II

    Unit V and VI combine

    Thomos Lee : CMOS RF

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    Textbooks

    D. K. Misra, Radio Frequency and Microwave Communication Circuits Analysis and Design,

    John Wiley, 2004.

    References:

    1. G. Gonzalez, Microwave Transistor Amplifiers Analysis and Design, Prentice Hall, 1997.

    2. D. M. Pozar, Microwave Engineering, John Wiley, 1998.

    3. S.K. Koul and B. Bhat, Microwave and Millimeter Wave Phase Shifters, Vol.II- Semiconductor

    And Delay Line Phase Shifters, Artech House, 1991

    4. G.D. Vendelin, A.M. Pavio and U.L. Rhode, Microwave Circuit Design using Linear and

    Nonlinear Techniques, 1990.

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    ET 972 Soft Computing L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    Objective

    The objective is to have general understanding of soft computing methodologies including artificial

    neural networks, genetic algorithms, fuzzy sets and fuzzy logic systems. Develop computational

    neural network models and fuzzy models for engineering systems.

    Unit I

    Introduction to learning systems Feed forward Neural Networks

    Unit II

    Perception Multilayer Perception Propagation algorithm and its variants improving generalization

    by various methods.

    Unit III

    Recurrent Neural Networks Hopfield net Boltzmann machine and Mean field learning solving

    combinational optimization problems using recurrent Neural Networks. Unsupervised Neural

    Networks.

    Unit IV

    Competitive learning Self-organizing maps growing cell structures Principal component analysis.

    Unit V

    Fuzzy Set Theory and Fuzzy Logic Control

    Unit VI

    Genetic algorithms: Population based search techniques, evolutionary strategies, mathematical

    foundations of genetic algorithms, search operators, genetic algorithms in function and

    combinational optimization, hybrid algorithms, application to pattern recognition

    Textbook

    1. S. Haykin, Neural Networks: A comprehensive foundation, Pearson, 1999

    References:

    1. J. M. Zurada, Introduction to artificial neural networks, Jaico publishing, 1997.

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    2. B. Yejnanarayana, Artificial Neural Networks, PHI, 1999

    3. C. Mohan and S. Ranka, Neural networks, Benram publications, 2004.

    ET 973 Real Time Operating Systems L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    Objective

    The course objective is to cover the principles of real-time and embedded systems inherent in many

    hardware platforms and applications being developed for engineering applications. As part of this

    course, students will learn about real-time and quality of service system principles, understand real-

    time operating systems and the resource management and quality of service issues that arise, and

    construct sample applications on representative platforms.

    Unit I

    Overview Of Commands, File I/O. (Open, Create, Close, Lseek, Read, Write), Process Control (Fork, Vfork,

    Exit, Wait, Waitpid, Exec), Signals, Inter Process Communication (Pipes, FIFOs, Message Queues,

    Semaphores, Shared Memory).

    Unit II

    Typical Real Time Application, Hard Vs Soft Real Time Systems, a Reference Model of Real Time Systems:

    Processors and Resources, Temporal Parameters of Real Time Workload, Periodic Task Model, Precedence

    Constraints and Data Dependency

    Unit III

    Functional Parameters, Resource Parameters of Jobs and Parameters of Resources Clock Driven, Weighted

    Round Robin, Priority Driven, Dynamic Vs State Systems, Effective Release Times and Dead Lines, Offline

    Vs Online Scheduling.

    Unit IV

    Overview, Time Services and Scheduling Mechanisms, other Basic Operating System Function, Processor

    Reserves and Resource Kernel. Capabilities of Commercial Real Time Operating Systems.

    Unit V

    Introduction, Fault Causes, Types, Detection, Fault and Error Containment, Redundancy: Hardware,

    Software, Time. Integrated Failure Handling.

    Unit VI

    Memory Managements Task State Transition Diagram, Pre-Emptive Priority, Scheduling, Context Switches

    Semaphore Binary Mutex, Counting: Watch Dogs, I/O System Process Management, Scheduling, Interrupt

    Management, and Synchronization

    Text Book1. Jane W.S. Liu, Real Time Systems, Pearson Education.

    REFERENCES:

    1. C.M.Krishna, KANG G. Shin, Real Time Systems, McGraw.Hill

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    2. Richard Stevens, Advanced Unix Programming.VxWorks Programmers Guide

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    ET 974 High Speed Networks L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    The main purpose of this course is to introduce students the important areas of communication

    networks, mainly Multistage networks .This will enable the students to acquire a solid

    understanding of foundations of networks technologies, systems, networks issues as well as

    economic deployment considerations.

    Unit-I

    SDH- basic features. Multistage networks. Traffic models; delay and loss performance. Cellswitching. Cell scale and burst scale queuing.

    Unit-II

    Protocol layers, their service and models. Internet protocol stack, link layer and local area

    networks. Network layer and routing. MPLS Technology,

    Unit-III

    Transport layer. Congestion control.

    Unit-IV

    Application layer protocols. Web and HTTP.FTP and email.

    Unit-V

    Mobile adhoc networking. Routing approaches. Mobile ad hoc networking. Protocol performance

    and open issues. Clustering and hierarchial routing. Ad hoc network security.

    Unit-VI

    Optical technology - WDM, Fixed n/w and Mobile Convergence

    Textbooks

    1. J.F.Kurose & K.W. Ross, Computer Networking,(3/e), Pearson Education,2005

    References

    1. A.Pattavina, Switching Theory, Wiley, 1998.

    2. S.Basagni, Mobile Ad Hoc Networking, Wiley,2004.

    3. J.M.Pitts & J.A.Schormans, Introduction to IP and ATM Design and Performance (2/e),

    Wiley, 2000.

    4. C.Siva Ram Murthy & B.S.Manoj, Adhoc Wireless Networks (2/e), Pearson Education,

    2005.

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    ET 975 Wireless Sensor Network L=3 T=0 P=0 Credits=6

    EvaluationScheme

    MSE-I MSE-II TA ESE TotalESE

    Duration15 15 10 60 100 3 hrs

    OBJECTIVES:

    To expose the students the fundamental concepts of IP based wireless communication

    systems/networks. To impart students with Wireless/Mobile IP Architecture and Evolution;

    Performance and Quality of Service; Mobility, Routing, and Signaling; Real-Time Applications.

    Unit-I:

    Introduction to sensors- Definition of sensor & its difference from transducer, Classification of

    sensors, internal architecture of sensors, application of sensors in various fields.

    Architecture-single node architecture-hardware components, energy consumption of sensor nodes,

    operating system and execution environments,

    Unit-II

    Network architecture-optimization goal and figure of merit-design principles for WSN, service

    interface of WSN, Gateway concept challenges of WSN, comparison with other network.

    Unit-III

    Wireless channel and communication fundamental, physical layer and transceiver design

    consideration in WSN,Unit-IV

    MAC Protocols-Fundamental of MAC Protocol, low duty cycle protocol and wakeup concepts,

    schedule based protocols , Link layer protocols, routing protocols naming and addressing, Time

    synchronization.

    Unit-V

    Properties of Localization and positioning procedures, single hop localization, positioning in

    multihop environments, and impact of anchor placement.

    Unit-VI

    Data centric routing, Data aggregation, Data centric storage, Topology control-controlling topology

    in a flat network, Hirarical network by dominating set, Hierarchical network by clustering,

    combining Hierarchical topologies and power control.

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    Textbook

    1.Azzedine Boukerche, Handbook of Algorithms for Wireless Networking and Mobile Computing, Chapman &

    Hall/CRC, 2006

    References:

    1 .Mohammad Ilyas and Imad Mahgoub, Handbook of Sensor Networks: Compact Wireless and Wired

    sensing systems, CRC Press, 2005.

    2. Anna Hac, Wireless Sensor Network Designs, John Wiley & Sons Ltd., 2003.

    3. Nirupama Bulusu and Sanjay Jha, Wireless Sensor Networks : A systems perspective, Artech House,

    August 2005.

    4.Jr., Edgar H. Callaway, Wireless Sensor Networks : Architecture and Protocols, Auerbach, 2003.

    5.C.S. Raghavendra, Krishna M. Sivalingam and Taieb Znati, Wireless Sensor Networks, Springer, 2005.

    6 Holger Karl & Andreas Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley7 F. Zhao and L. Guibas, Wireless Sensor Networks, Morgan Kaufmann, San Francisco,2004.

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    ET 976 PROJECT PHASE - I L=0 T=0 P=14 Credits=14

    EvaluationScheme

    MSE-I MSE-II TA ESE Total ESE Duration

    40 60 100

    OBJECTIVES

    As the project methodology for the batches is decided in the 2nd

    semester the student shall carry out the project workfurther 3

    rdsemester. The project work consists of ;

    1. Literature survey2. Study of processes /phenomenon related to project.3. Design of any equipment its fabrication and testing.4. Critical analysis of design or process for optimization5. Verification by experimentation.6. In case of industrial project the necessary modifications with the proper drawing / design suggested

    to the industry should be explained. The letter from the industry should be attached in the report

    related to the performance of the student.

    ET 977 PROJECT PHASE - II L=0 T=0 P=20 Credits=20

    EvaluationScheme

    MSE-I MSE-II TA ESE Total ESE Duration

    100 100