SPECTRUM : Spectral Analysis in Python

contributions:	Please join https://github.com/cokelaer/spectrum
issues:	Please use https://github.com/cokelaer/spectrum/issues
documentation on RTD:	http://pyspectrum.readthedocs.io/

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)

• http://nbviewer.ipython.org/gist/juhasch/5182528