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Huffman Coding & Summary
Lesson 24 of 24 • 25 upvotes • 11:05mins
Paru Smita
Huffman Coding
(Hindi) Information Theory : GATE (ECE)
24 lessons • 3h 36m
1
Overview - Information Theory (In Hindi)
5:31mins
2
Introduction to Information Theory (In Hindi)
8:27mins
3
Measure of Information (In Hindi)
7:41mins
4
Properties of Information (In Hindi)
8:58mins
5
Entropy (In Hindi)
9:32mins
6
Information Rate and Nums (In Hindi)
9:29mins
7
Numericals - I(x), H(x) and R (In Hindi)
8:43mins
8
Discrete Memoryless Channel
8:15mins
9
Types of Channel
8:18mins
10
Binary Symmetric Channel -DMC
8:22mins
11
PYQ - DMC
12:05mins
12
Mutual Information and Joint Entropy
8:12mins
13
Properties of Mutual Information
10:57mins
14
Channel Capacity & Some special Channel
8:34mins
15
Binary Symmetric Channel - Channel Capacity and PYQ
9:36mins
16
Channel Coding Theorem, Information Capacity Theorem
8:20mins
17
Additive White Gaussian Noise Channel and PYQ
10:34mins
18
PYQ - EXERCISE 1
8:53mins
19
PYQ - EXERCISE 2
8:16mins
20
PYQ - EXERCISE 3
8:03mins
21
Source Coding
8:04mins
22
Source Coding - PYQ
11:02mins
23
Entropy Coding - Shannon Fano Coding
9:02mins
24
Huffman Coding & Summary
11:05mins
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