18EC54-Information Theory & Coding

Lecture 1 - Introduction to Information Theory and Coding

Lecture 2 - Definition of Information Measure and Entropy

Lecture 3 - Extention of An Information Source and Markov Source

Lecture 4 - Adjoint of An Information Source, Joint and Conditional Information Measure

Lecture 5 - Properties of Joint and Conditional Information Measures and A Morkov Source

Lecture 6 - Block Code and its Properties

Lecture 7 - Instantaneous Code and Its Properties

Lecture 8 - Kraft-Mcmillan Equality and Compact Codes

Lecture 9 - Shannon's First Theorem

Lecture 10 - Coding Strategies and Introduction to Huffman Coding

Lecture 11 - Huffman Coding and Proof of Its Optamality