Hypothesis Testing with Gaussian Noise

In course

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Description

This lecture covers the concept of hypothesis testing with additive Gaussian noise, focusing on the Q-function and m-ary hypothesis testing. Emre Telatar explains the process of maximizing the observation to design the MAP rule and the standard Gaussian distribution.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_y12hujqu

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