Lecture

Frequency Estimation of Noisy Random Signals

In course

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Description

This lecture covers digital experiments for frequency estimation of random signals, including shot noise, Brownian motion, filtered white noise (colored noise), harmonic signals in noise, non-parametric spectral estimation, and auto-correlation function estimation with a bias/variance trade-off.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_alv9wtfv

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Ontological neighbourhood

Information engineering

Signal processing: Digital image processing

Statistics

Data analysis: Time series

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