20 - Session 20 [ID:39853]
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Gesperrt clipDauer
01:35:40 Min
Aufnahmedatum
2022-01-10
Hochgeladen am
2022-01-10 18:36:04
Sprache
en-US
This is the recording of Session 20, given on Monday, Jan 10, 2022. In this session, we learn the Gaussian channel. To calculate its capacity, we study the concept of differential entropy and learn how to deal with continuous random variables in information theory. This session is partially consistent with Chapter 11.
Tags
coding
Information entropy
Bayesian Inference
Mutual Information
Information Theory
Shannon's Theorems
Channel Capacity
Message Passing
Sum-Product Algorithm
Source Coding
Channel Coding