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Lecture
Frequency Estimation of Noisy Random Signals
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.
Official source
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