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Lecture
Signal Processing: Noise Filtering and Signal Estimation
Description
This lecture covers the concepts of signal-to-noise ratio, common information between signals, filtering of noisy signals, and signal estimation. It explains how to minimize error power, optimize signal detection, and enhance signal quality through filtering techniques. The instructor discusses the Wiener-Khintchine theorem, power spectral density, and the process of signal recovery in the presence of noise.
Official source
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