Detection & Estimation

In course

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Description

This lecture covers the fundamentals of detection and estimation theory, focusing on mean-squared error, hypothesis testing, and discrete observations. Topics include Gaussian distribution, hypothesis testing, and detection methods for discrete signals.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_rsm9tik3

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

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