Signal Processing Fundamentals

In course

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Description

This lecture covers the basics of signal processing, including auto covariance function, power spectral density, matched filters, and impulse response. Emre Telatar explains concepts such as white Gaussian noise and filter design.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_lac5edgy

About this result

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Ontological neighbourhood

Information engineering

Signal processing: Filtering theory, Digital image processing

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