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SPECTRUM : Spectral Analysis in Python

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contributions

Please join https://github.com/cokelaer/spectrum

issues

Please use https://github.com/cokelaer/spectrum/issues

documentation on RTD

http://pyspectrum.readthedocs.io/

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Spectrum contains tools to estimate Power Spectral Densities using methods based on Fourier transform, Parametric methods or eigenvalues analysis:

  • The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...).
  • The parametric methods are based on Yule-Walker, BURG, MA and ARMA, covariance and modified covariance methods.
  • Non-parametric methods based on eigen analysis (e.g., MUSIC) and minimum variance analysis are also implemented.
  • Multitapering is also available

Installation

pip install spectrum
For Linux and MAC users, if you prefer to use conda (avoiding

compilation of dependencies), please use:

conda config --add channels conda-forge 
conda install spectrum

To install the conda executable, please see https://www.continuum.io/downloads .

Contributions

Please see github for any issues/bugs/comments/contributions.

Some notebooks (external contributions)

Packages

No packages published

Languages

  • Python 92.6%
  • C 7.4%