Information Theory and Coding Techniques, Videos

Prof. S.N. Merchant - IIT Bombay

Introduction to Information Theory and Coding

Definition of Information Measure and Entropy

Extention of An Information Source and Markov Source

Adjoint of An Information Source, Joint and Conditional Information Measure

Properties of Joint and Conditional Information Measures and A Morkov 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 Optamality

Competitive Optamality of The Shannon Code

Non-Binary Huffman Code and Other Codes

Adaptive Huffman Coding Part-I

Adaptive Huffman Coding Part-II

Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding

Arithmetic Coding Part-I

Arithmetic Coding Part-II

Introdution to Information Channels

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 Channels

Shannon's Second Theorem

Discussion On Error Free Communication Over Noisy Channel

Error Free Communication Over A Binary Symmetric Channel and Introduction to Continuous Sources and Channels

Differential Entropy and Evaluation of Mutual Information for Continuous Sources and Channels

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 Coding Part-I

Transform Coding Part-II

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