MTech in
Electronics and Electrical Engineering
(Specialization: Communication Engineering)
|
Semester
I |
|
|
|
Semester
II |
|
Course
No |
Course
Name |
L-T-P-C |
|
Course
No |
Course
Name |
L-T-P-C |
EC
520 |
Linear Algebra and Random
Processes |
4-0-0-8 |
|
EC
636 |
Detection and Estimation
Theory |
3-0-0-6 |
EC
521 |
Signal Processing |
3-0-0-6 |
|
EC
523 |
Digital Signal Processors |
2-0-3-7 |
EC
530 |
Advanced Digital
Communication |
3-0-0-6 |
|
EC
6xx |
Dept. Elective - I |
3-0-0/2-6/8 |
EC
537 |
Information Theory |
3-0-0-6 |
|
EC
6xx |
Dept. Elective - II |
3-0-0/2-6/8 |
|
EC
697 |
Project Phase - I |
0-0-6-6 |
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|
Total |
13-0-0-26 |
|
|
Total |
11-0-9/13-31/35 |
|
Semester
III |
|
|
|
Semester
IV |
|
EC
698 |
Project Phase – II |
0-0-24-24 |
|
EC
699 |
Project Phase - III |
0-0-24-24 |
|
Total |
0-0-24-24 |
|
|
Total |
0-0-24-24 |
EC 520 LINEAR ALGEBRA AND RANDOM PROCESSES (4-0-0-8)
Linear
Algebra: Basic analysis and topology. Vector spaces, linear operators and
matrices. Decomposition theorems and eigen-analysis.
Quadratic forms. Perron-Frobenius theorems.
Probability: Spaces and random variables. Distributions. Transformations and
moment analysis. Stochastic processes and covariance analysis. Estimation
theory. Texts/References: 1. K. Hoffman and R. Kunze,
Introduction to Linear Algebra, 2nd Ed, Prentice-Hall, 1996. 2. R. Horn and C. Johnson, Matrix
Analysis; Cambridge, CUP, 1991 3. A. Papoulis, Probability, Random
Variables and Stochastic Processes, 3rd Ed, McGraw-Hill, 1991. 4. H. Stark and J. W. Woods, Probability,
Random Variables and Estimation Theory for Engineers, Prentice Hall, 1994. EC 521 Signal Processing (3-0-0-6)
Continuous-time
and discrete-time signals and systems; Spectral analysis: CTFT and DTFT, DFT,
FFT and STFT; Sampling, Quantization, Decimation and Interpolation;
Z-transform: definition and ROC; Digital filters: FIR and IIR filters,
Digital-filter realisations and design, Finite wordlength effects; Adaptive filtering: steepest-descent
algorithm, LMS, variants of LMS, LS, RLS, blind algorithms. Texts/References: 1. S. Haykin, Adaptive Filter Theory, PHI, 2001. 2. A.V. Oppenheim
and R.W. Schafer, Discrete- Time Signal
Processing, PHI, 2000.
EC 530 Advanced Digital Communication ( 3-0-0-6)
Review
of digital modulation schemes and receivers in additive white Gaussian noise
channels, CPM, MSK, CPFSK; Intersymbol
interference; Adaptive receivers and
channel equalization: MMSE, ZFE, FSE; Carrier and clock synchronisation; Effects of phase and timing jitter;
Block codes, Convolutional codes and their
performance evaluation; Coded modulation schemes: TCM; Turbocodes;
Digital transmission over fading channels. Texts/References: 1.
S Benedetto and E Biglieri,
Principles of Digital Transmission with
Wireless Applications,
Kluwer Academic, 1999. 2.
R G Gallager, Principles
of Digital Communication, Cambridge University Press, 2008 3.
J G Proakis, Digital
Communications, 4th edition, McGraw Hill, 2000 4. U Madhow, Fundamentals of Digital Communication,
Cambridge University Press, 2008
EC 537 Information Theory (3-0-0-6)
Information
Thoery: Entropy and mutual information for discrete
ensembles; Asymptotic equipartition property;
Markov chains; Entropy Rates of a Stochastic Process; Shannon's noiseless
coding theorem; Encoding of discrete sources;Universal
Source Coding;Discrete memoryless
channels; Shannon's noisy coding theorem and converse for discrete channels;
Calculation of channel capacity and bounds for discrete channels; Differential
entropy; Calculation of channel capacity for Gaussian chanels;
Rate distortion function; Large Deviation Theory; Chernoff
Information; Fisher Information and the CramerRao
inequality; Network Information Theory Multiple-access Channel, Broadcast
Channel, Relay Channel;Information Theory
applications in Portfolio Theory; Texts/References: 1. T. M. Cover and
J. A. Thomas, .Elements of Information
Theory, JohnWiley, New York, 1991 2. RW Yeung, Information
Theory And Network Coding, Springer, 2008 3. RG Gallagar, Information
Theory and Reliable Communication, John Wiley & Sons, 1976. 4. R.B. Ash, Information Theory, Prentice Hall,
1970
EC 523 Digital Signal Processors (2-0-3-7)
Introduction:
Computational characteristics of DSP algorithms and applications; Techniques
for enhancing computational throughput: Harvard architecture, parallelism,
pipelining, dedicated multiplier, split ALU and barrel shifter; TMS320C64xx
architecture: CPU data paths and control, general purpose register files, register file cross paths, memory load
and store paths, data address paths, parallel operations, resource
constraints; Assembly language: Programmers model, functional units, Fetch
and execute packets, pipelining, linear and circular addressing, assembler directives,
addressing modes, instructions; Memory: Program memory, data memory, memory
configuration. External memory interface (EMIF), fixed point and floating
point formats; Interrupts: Interrupt sources, interrupt control registers and
interrupt acknowledgment; Peripherals: Timer, multi channel buffered serial
port, DMA, general purpose IO; DSP Real Time system operating systems;
Applications: a few case studies of application of DSPs in communication and
multimedia.
Laboratory
Experiments:
Familiarization to Code Composer Studio; development cycle on TMS320C64xx
kit; finite impluse
response filter; infinite impulse
response filter; adaptive filter and experiments on communication such as
generation of a n-tuple PN sequence, generation of
a white noise sequence using the PN sequence and CLT, restoration of a sinusiodal signal embedded in white noise by Wiener Filtering; speech and
multi-media applications. Texts/References:
1.Rulph Chassaing and Donald Reay, Digital
signal processing and applications with Tms320C6713 and TMS320C6416,
Wiley, 2008. 2.TMS320C64x Technical Overview, Texas Instruments, Dallas, TX,
2001. 3.TMS320C6000 Peripherals Reference Guide, Texas Instruments, Dallas,
TX, 2001. 4.TMS320C6000 CPU and Instruction Set Reference Guide, Texas
Instruments, Dallas, TX, 2000. 5.TMS320C6000 Peripherals Reference Guide, Texas
Instruments, Dallas, TX, 2001. 6.IEEE Signal Processing Magazine : Oct
88, Jan 89, July 97, Jan 98, March 98 and March 2000.
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