Lecture

Adaptive Signal Processing: LMS Filter

Description

This lecture covers adaptive signal processing, focusing on the LMS filter. Topics include finding the minimum squared error, iterative minimization using stochastic gradient descent, and the LMS algorithm for updating filter coefficients. The lecture also discusses the application of LMS for white input signals.

In MOOCs (4)

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_m0z8wzb4

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