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 134 (0 this week)

Watchers 7 (0 this week)

Forks 28

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these MVRonkin/dsatools is ranked #240,768 (60th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,762/17,543.

MVRonkin/dsatools is also tagged with popular topics, for these it's ranked: signal-processing (#98/217)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-12-14 @ 05:07am, id: 291443699 / R_kgDOEV8T8w