National University of Sciences and Technology
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EE852 Information Theory & Coding
Campus PNEC
Programs PG
Session Fall Semester 2016
Course Title Information Theory & Coding
Course Code EE852
Credit Hours 3-0
Pre-Requisutes EE891 Stochastic Systems
Course Objectives This course is intended to be a first semester postgraduate (core) course in communications engineering for the students planning to develop the fundamental principles of bandwidth efficient, error-free and reliable data transmission in communication systems. The course is aimed to build a comprehensive foundation in the analysis and design of generic and specialized source and channel coding techniques with brief introduction to encryption techniques.
Detail Content
Topics Textbook Section
Introduction to Information Theory Bose, Chapter 1 Proakis and Salehi, Chapter 6
Shannon’s Channel Capacity Theorem Bose, Chapter 2 Sklar and Ray, Chapter 9
Expression of Bit error rates in terms of SNR for MLD (Maximum Likelihood Detection) Proakis and Salehi, Chapter 4 Class Notes
Source Coding Algorithms Bose, Chapter 1 Proakis and Salehi, Chapter 6
Channel Coding Algorithms (Block codes) Bose, Chapters 2,3 Sklar and Ray, Chapter 6 Proakis and Salehi, Chapter 7
Channel Coding Algorithms (Convolutional codes) Bose, Chapter 6 Sklar and Ray, Chapter 7 Proakis and Salehi, Chapter 8
Introduction to Cyptography Bose, Chapter 8
Text/Ref Books
  • Ranjan Bose, Information Theory, Coding and Cryptography, McGraw Hill , 2nd Ed, 2008
  • Proakis&Salehi, Digital Communications, McGraw Hill Intl Ed, 5th Ed, 2008
  • Sklar& Kumar Ray, Digital Communications-Fundamentals and Applications, 2nd Edition, Pearson, 2009
  • Carlson, Crilly and Rutledge, Communication Systems-An Introduction to Signals and Noise in Electrical Communications, 4th Edition, McGraw Hill Intl Ed, 2002
Time Schedule Fall Semester 2014
Faculty/Resource Person Dr Sameer Qazi
MS/PhD University of New South Wales, Australia
Discipline: Computer Networks
Specialization: Computer Network Optimization