x
Menu

Information Theory and Coding

IIT Bombay, , Prof. S.N.Merchant

Updated On 02 Feb, 19

Overview

Introduction to Information Theory and Coding - Definition of Information Measure and Entropy - Extension of An Information Source and Markov Source - Adjoint of An Information Source, Joint and Conditional Information Measures - Properties of Joint and Conditional Information Measures and a Markov Source - Asymptotic Properties of Entropy and Problem Solving in Entropy - Block Code and Its Properties - Instantaneous Code and Its Properties - Kraft-Mcmillan Equality and Compact Codes - Shannon's First Theorem - Coding Strategies and Introduction to Huffman Coding - Huffman Coding and Proof of Its Optimality - Competitive Optimality of The Shannon Code - Non-Binary Huffman Code and Other Codes - Adaptive Huffman Coding - Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding


Introduction to Information Channel - Equivocation and Mutual Information - Properties of Different Information Channels - Reduction of Information Channels - Properties of Mutual Information and Introduction to Channel Capacity - Calculation of Channel Capacity for Different Information Channel - Shannon's Second Theorem - Discussion on Error Free Communication Over Noisy Channel - Error Free Communication Over a Binary Symmetric Channel - Differential Entropy and Evaluation of Mutual Information - Channel Capacity of a Bandlimited Continuous Channel - Introduction to Rate-Distortion Theory - Definition and Properties of Rate-Distortion Functions - Calculation of Rate-Distortion Functions - Computational Approach For Calculation of Rate-Distortion Functions - Introduction to Quantization - Lloyd-Max Quantizer - Companded Quantization - Variable Length Coding and Problem Solving In Quantizer Design - Vector Quantization - Transform - Transform Coding

Includes

Lecture 20: Introduction to Information Channel

4.1 ( 11 )


Lecture Details

Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay. For more details on NPTEL visit httpnptel.iitm.ac.in

Ratings

0


0 Ratings
55%
30%
10%
3%
2%
Comments
comment person image

Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

Reply
comment person image

Dembe

Great course. Thank you very much.

Reply
Send