Statistical Signal Processing

In course

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Description

This lecture covers topics such as Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis. It explains how to reduce data complexity, analyze principal components, and find characteristic shapes in neurobiological signal processing.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1ctntouc

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems

Computer architecture: Operating systems

Computer networks: Search engines

Information engineering

Signal processing: Digital image processing

Statistics

Statistical inference: Mathematical statistics

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