The library with a most popular Digital Signal Analysis (DSA) tools
Project description
Digital Signal Analysis (DSA) library for python. The library includes such methods of signal analysis and signal parameter estimation as arma-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition; empirical wavelet transform; Hilbert vibration decomposition and many others.
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