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source: nptelhrd 2011年8月19日
Electronics - Information Theory and Coding by Prof. S. N. Merchant, Department of Electrical Engineering, IIT Bombay. For more details on NPTEL visit http://nptel.iitm.ac.in
01 Introduction to Information Theory and Coding 52:54
02 Definition of Information Measure and Entropy 53:16
03 Extension of An Information Source and Markov Source 56:07
04 Adjoint of An Information Source, Joint and Conditional Information Measures 56:48
05 Properties of Joint and Conditional Information Measures and a Markov Source 49:56
06 Asymptotic Properties of Entropy and Problem Solving in Entropy 56:21
07 Block Code and Its Properties 51:04
08 Instantaneous Code and Its Properties 52:31
09 Kraft-Mcmillan Equality and Compact Codes 52:18
10 Shannon`s First Theorem 52:06
11 Coding Strategies and Introduction to Huffman Coding 54:21
12 Huffman Coding and Proof of Its Optimality 53:37
13 Competitive Optimality of The Shannon Code 51:28
14 Non-Binary Huffman Code and Other Codes 48:26
15 Adaptive Huffman Coding part-1 50:57
16 Adaptive Huffman Coding Part-2 49:21
17 Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding 53:09
18 Arithmetic Coding Part-1 50:09
19 Arithmetic Coding Part-2 51:50
20 Introduction to Information Channel 55:49
21 Equivocation and Mutual Information 51:36
22 Properties of Different Information Channels 54:12
23 Reduction of Information Channels 50:49
24 Properties of Mutual Information and Introduction to Channel Capacity 51:51
25 Calculation of Channel Capacity for Different Information Channel 47:12
26 Shannon`s Second Theorem 50:22
27 Discussion on Error Free Communication Over Noisy Channel 53:24
28 Error Free Communication Over a Binary Symmetric Channel 50:03
29 Differential Entropy and Evaluation of Mutual Information 55:53
30 Channel Capacity of a Bandlimited Continuous Channel 55:42
31 Introduction to Rate-Distortion Theory 49:06
32 Definition and Properties of Rate-Distortion Functions 47:02
33 Calculation of Rate-Distortion Functions 53:38
34 Computational Approach For Calculation of Rate-Distortion Functions 49:13
35 Introduction to Quantization 50:53
36 Lloyd-Max Quantizer 49:19
37 Companded Quantization 57:32
38 Variable Length Coding and Problem Solving In Quantizer Design 51:13
39 Vector Quantization 54:53
40 Transform Part-1 51:58
41 Transform Coding Part-2 54:14
