pg syl comm engg 30aug
TRANSCRIPT
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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