F E E D B A C K

ECE543 - Principles of Digital Communications

IIIT-Delhi

Monsoon 2019

4 credits

Instructor

Anand Srivastava

Teaching Assistant

Mohd Hamza Naim Shaikh

Info - Principles of Digital Communications, IIIT-Delhi

Overview

The aim of this course is to provide a comprehensive coverage and in-depth treatment of the theory and design of digital communications at a level required for first year graduate students. The course will focus on the theoretical foundations of a advanced digital communication system Emphasis is placed on system goals and the need to trade off basic system parameters such as signal-to-noise ratio, probability of error, and bandwidth (spectral) efficiency.

Description

Description

Introduction to Digital Communication (4 Classes)
Probability and Random Process 
Representation of Bandpass Signals and Systems 

Information Theory (6 Classes) 
Fundamental Limits on performance
Introduction to Information Channels and their Models 
Properties of Different Information Channels 
Reduction of Information Channels
Entropy, Source/Channel Coding Theorem 
Entropy of Markov Source
Mutual Information 
Properties of Mutual Information and Introdution to Channel Capacity   Calculation of Channel Capacity for Different Information Channels 

Optimum Receiver Design in Additive Gaussian Noise Channels (8 Classes)
Vector representation of signals, Waveform channels, Geometric representations - Bases and Signal Sets Maximum Likelihood Receivers – Matched filter; Decision regions Performance Evaluation – Probability of Symbol errors; Union Bound on probability of error

Channel Estimation (8 Classes)
Maximum Likelihood (ML), Properties – Mean/ Variance of Estimate Wireless Flat-Fading Channel Estimation,
Pilot-based ML 
Estimate
Cramer-Rao Bound (CRB
Vector Parameter Estimation 
Multi-Antenna Downlink Mobile Channel Estimation 
Channel Equalization Zero-Forcing (ZF) Equalizer, ZF Example, MMSE, MMSE example

Evaluation

Mid Sem Exam...20%

Final Exam...45%
Assignments (2)...10%
Mini Project/Paper Implementation...15%
Quizzes (2)...10% 

Pre-requisites

Course on PRP and DCS desirable

Class Timings

Tue: 02.30-04.00
Fri: 02.30-04.00

Textbooks

1. J. Wozencraft &  I. Jacobs, “Principles of Communication  Engineering” John Wiley 
2. Digital Communications 
Haykin, Wiley
 
3. John G. Proakis and M. Salehi, Digital Communications, 5th Edition, McGraw-
Hill, New York, 2007.
 
4. Fundamentals of Statistical Signal Processing - Author: Steven M. Kay  Volume I: Estimation Theory   
5. Robert G. Gallager, Principles of Digital Communication, Cambridge University
Press, 2008.