Information Measures: Estimation & Detection

In course

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Description

This lecture covers information measures, estimation, and detection, focusing on signal representation and the chain rule. It explains the concept of entropy, mutual information, and the Kullback-Leibler divergence. The lecture also delves into the uniform probability distribution and the importance of data processing inequality.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_q6y5lxz9

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