Information Theory and Coding

Information Theory and Coding
Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay.
Mod-01 Lec-01 Introduction to Information Theory and Coding
Mod01 Lec-02 Definition of Information Measure and Entropy
Mod-01 Lec-03 Extension of An Information Source and Markov Source
Mod-01 Lec-04 Adjoint of An Information Source, Joint and Conditional Information Measures
Mod-01 Lec-05 Properties of Joint and Conditional Information Measures and a Markov Source
Mod-01 Lec-06 Asymptotic Properties of Entropy and Problem Solving in Entropy
Mod-01 Lec-07 Block Code and Its Properties
Mod-01 Lec-08 Instantaneous Code and Its Properties
Mod-01 Lec-09 Kraft-Mcmillan Equality and Compact Codes
Mod-01 Lec-10 Shannon`s First Theorem
Mod-01 Lec-11 Coding Strategies and Introduction to Huffman Coding
Mod-01 Lec-12 Huffman Coding and Proof of Its Optimality
Mod-01 Lec-13 Competitive Optimality of The Shannon Code
Mod-01 Lec-14 Non-Binary Huffman Code and Other Codes
Mod-01 Lec-15 Adaptive Huffman Coding part-1
Mod-01 lec-16 Adaptive Huffman Coding Part-2
Mod-01 Lec-17 Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding
Mod-01 Lec-18 Arithmetic Coding Part-1
Mod-01 Lec-19 Arithmetic Coding Part-2
Mod-01 Lec-20 Introduction to Information Channel
Mod-01 Lec-21 Equivocation and Mutual Information
Mod-01 Lec22 Properties of Different Information Channels
Mod-01 Lec-23 Reduction of Information Channels
Mod-01 Lec-24 Properties of Mutual Information and Introduction to Channel Capacity
Mod-01 Lec-25 Calculation of Channel Capacity for Different Information Channel
Mod-01 Lec-26 Shannon`s Second Theorem
Mod-01 Lec-27 Discussion on Error Free Communication Over Noisy Channel
Mod-01 Lec-28 Error Free Communication Over a Binary Symmetric Channel
Mod-01 Lec-29 Differential Entropy and Evaluation of Mutual Information
Mod-01 Lec-30 Channel Capacity of a Bandlimited Continuous Channel
Mod-01 Lec-31 Introduction to Rate-Distortion Theory
Mod-01 Lec-32 Definition and Properties of Rate-Distortion Functions
Mod-01 Lec-33 Calculation of Rate-Distortion Functions
Mod-01 Lec-34 Computational Approach For Calculation of Rate-Distortion Functions
Mod-01 Lec-35 Introduction to Quantization
Mod-01 Lec-36 Lloyd-Max Quantizer
Mod-01 Lec-37 Companded Quantization
Mod-01 Lec-38 Variable Length Coding and Problem Solving In Quantizer Design
Mod-01 Lec-39 Vector Quantization
Mod01 Lec-40 Transform Part-1