Hilbert Transform applications in signal analysis and non-parametric identification of linear and nonlinear systems. Zuocai Wang. To address these challenges, analytical mode decomposition AMD based on Hilbert Transform is proposed and developed for an adaptive data analysis of both stationary and non-stationary responses. With a suite of predetermined bisecting frequencies, AMD can analytically extract the individual components of a structural response between any two bisecting frequencies and function like an adaptive bandpass filter that can deal with frequency-modulated responses with significant frequency overlapping. It is simple in concept, rigorous in mathematics, and reliable in signal processing.
Signal processing - Wikipedia
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