This lecture covers the spectrum of random functions, focusing on both time and space domains, as a preliminary step towards understanding turbulence theory.
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Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.
Covers spectral estimation techniques like tapering and parametric estimation, emphasizing the importance of AR models and Whittle likelihood in time series analysis.
