Spectral analysis is the process of breaking down a signal into its frequency components. It can be used to identify periodic signals in data and to analyze the properties of a signal such as amplitude, frequency, and phase. It is also used to study the properties of systems by analyzing the frequency content of their outputs.
Stanford University
Autumn 2022
The course addresses both classic and recent developments in counting and sampling. It covers counting complexity, exact counting via determinants, sampling via Markov chains, and high-dimensional expanders.
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