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Lecture
Information Measures: Estimation & Detection
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.
Official source
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