Lectures in this course:41
1 - Mod 01 - Lec 01 - Introduction to Information Theory and Coding (52:54)
2 - Mod 01 - Lec 02 - Definition of Information Measure and Entropy (53:16)
3 - Mod 01 - Lec 03 - Extension of An Information Source and Markov Source (56:07)
4 - Mod 01 - Lec 04 - Adjoint of An Information Source, Joint and Conditional Information Measures (56:47)
5 - Mod 01 - Lec 05 - Properties of Joint and Conditional Information Measures and a Markov Source (49:56)
6 - Mod 01 - Lec 06 - Asymptotic Properties of Entropy and Problem Solving in Entropy (56:21)
7 - Mod 01 - Lec 07 - Block Code and Its Properties (51:03)
8 - Mod 01 - Lec 08 - Instantaneous Code and Its Properties (52:31)
9 - Mod 01 - Lec 09 - Kraft-Mcmillan Equality and Compact Codes (52:18)
10 - Mod 01 - Lec 10 - Shannon's First Theorem (52:06)
11 - Mod 01 - Lec 11 - Coding Strategies and Introduction to Huffman Coding (54:21)
12 - Mod 01 - Lec 12 - Huffman Coding and Proof of Its Optimality (53:37)
13 - Mod 01 - Lec 13 - Competitive Optimality of The Shannon Code (51:28)
14 - Mod 01 - Lec 14 - Non-Binary Huffman Code and Other Codes (48:26)
15 - Mod 01 - Lec 15 - Adaptive Huffman Coding part-1 (50:57)
16 - Mod 01 - Lec 16 - Adaptive Huffman Coding Part-2 (49:21)
17 - Mod 01 - Lec 17 - Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding (53:09)
18 - Mod 01 - Lec 18 - Arithmetic Coding Part-1 (50:09)
19 - Mod 01 - Lec 19 - Arithmetic Coding Part-2 (51:50)
20 - Mod 01 - Lec 20 - Introduction to Information Channel (55:48)
21 - Mod 01 - Lec 21 - Equivocation and Mutual Information (51:36)
22 - Mod 01 - Lec 22 - Properties of Different Information Channels (54:12)
23 - Mod 01 - Lec 23 - Reduction of Information Channels (50:49)
24 - Mod 01 - Lec 24 - Properties of Mutual Information and Introduction to Channel Capacity (51:51)
25 - Mod 01 - Lec 25 - Calculation of Channel Capacity for Different Information Channel (47:12)
26 - Mod 01 - Lec 26 - Shannon's Second Theorem (50:22)
27 - Mod 01 - Lec 27 - Discussion on Error Free Communication Over Noisy Channel (53:24)
28 - Mod 01 - Lec 28 - Error Free Communication Over a Binary Symmetric Channel (50:03)
29 - Mod 01 - Lec 29 - Differential Entropy and Evaluation of Mutual Information (55:53)
30 - Mod 01 - Lec 30 - Channel Capacity of a Bandlimited Continuous Channel (55:42)
31 - Mod 01 - Lec 31 - Introduction to Rate-Distortion Theory (49:06)
32 - Mod 01 - Lec 32 - Definition and Properties of Rate-Distortion Functions (47:02)
33 - Mod 01 - Lec 33 - Calculation of Rate-Distortion Functions (53:38)
34 - Mod 01 - Lec 34 - Computational Approach For Calculation of Rate-Distortion Functions (49:13)
35 - Mod 01 - Lec 35 - Introduction to Quantization (50:53)
36 - Mod 01 - Lec 36 - Lloyd-Max Quantizer (49:19)
37 - Mod 01 - Lec 37 - Companded Quantization (57:32)
38 - Mod 01 - Lec 38 - Variable Length Coding and Problem Solving In Quantizer Design (51:13)
39 - Mod 01 - Lec 39 - Vector Quantization (54:53)
40 - Mod 01 - Lec 40 - Transform Part-1 (51:57)
41 - Mod 01 - Lec 41 - Transform Coding Part-2 (54:14)
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