MVRonkin / dsatools

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing 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 (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

Date Created 2020-08-30 (4 years ago)

Commits 37 (last one about a year ago)

Stargazers 131 (0 this week)

Watchers 7 (0 this week)

Forks 29

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these MVRonkin/dsatools is ranked #239,865 (59th percentile) for total stargazers, and #268,427 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,709/16,901.

MVRonkin/dsatools is also tagged with popular topics, for these it's ranked: signal-processing (#98/213)

All Topics

dmd dtw emd ssa vmd esprit matrix-pencil signal-analysis signal-processing frequency-estimation digital-signal-processing singular-spectrum-analysis empirical-mode-decomposition signal-processing-algorithms variational-mode-decomposition hilbert-vibration-decomposition

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12 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-05 @ 09:27am, id: 291443699 / R_kgDOEV8T8w