Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/cokelaer/spectrum

Spectral Analysis in Python
https://github.com/cokelaer/spectrum

arma fourier pburg periodogram psd python spectral

Last synced: 7 days ago
JSON representation

Spectral Analysis in Python

Host: GitHub
URL: https://github.com/cokelaer/spectrum
Owner: cokelaer
License: bsd-3-clause
Created: 2014-09-01T18:26:09.000Z (over 10 years ago)
Default Branch: master
Last Pushed: 2024-12-08T22:39:01.000Z (about 2 months ago)
Last Synced: 2025-01-19T05:34:26.553Z (14 days ago)
Topics: arma, fourier, pburg, periodogram, psd, python, spectral
Language: Python
Homepage: http://pyspectrum.readthedocs.io
Size: 973 KB
Stars: 342
Watchers: 19
Forks: 90
Open Issues: 5
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Authors: AUTHORS.rst

Awesome Lists containing this project

awesome-chemistry-nmr-nuclear-magnetic-resonance - SPECTRUM : Spectral Analysis in Python - Spectral Analysis in Python. [documentation](https://pyspectrum.readthedocs.io/en/latest/quickstart.html). (NMR GitHub Projects used link)

README

        SPECTRUM : Spectral Analysis in Python

==========================================

.. image:: https://badge.fury.io/py/spectrum.svg

    :target: https://pypi.python.org/pypi/spectrum

.. image:: https://github.com/cokelaer/spectrum/actions/workflows/main.yml/badge.svg?branch=master

    :target: https://github.com/cokelaer/spectrum/actions/workflows/main.yml

.. image:: https://coveralls.io/repos/cokelaer/spectrum/badge.png?branch=master

    :target: https://coveralls.io/r/cokelaer/spectrum?branch=master

.. image:: https://anaconda.org/conda-forge/spectrum/badges/license.svg

   :target: https://anaconda.org/conda-forge/spectrum

.. image:: https://anaconda.org/conda-forge/spectrum/badges/installer/conda.svg

   :target: https://conda.anaconda.org/conda-forge

.. image:: https://anaconda.org/conda-forge/spectrum/badges/downloads.svg

   :target: https://anaconda.org/conda-forge/spectrum

.. image:: http://joss.theoj.org/papers/e4e34e78e4a670f2ca9a6a97ce9d3b8e/status.svg

   :target: http://joss.theoj.org/papers/e4e34e78e4a670f2ca9a6a97ce9d3b8e

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

:contributors: https://github.com/cokelaer/spectrum/graphs/contributors

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

:documentation: http://pyspectrum.readthedocs.io/

:Citation: Cokelaer et al, (2017), 'Spectrum': Spectral Analysis in Python, Journal of Open Source Software, 2(18), 348, doi:10.21105/joss.00348

.. image:: http://www.thomas-cokelaer.info/software/spectrum/html/_images/psd_all.png

    :class: align-right

    :width: 50%

**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

The targetted audience is diverse. Although the use of power spectrum of a

signal is fundamental in electrical engineering (e.g. radio communications,

radar), it has a wide range of applications from cosmology (e.g., detection of

gravitational waves in 2016), to music (pattern detection) or biology (mass

spectroscopy).

Quick Installation

=====================

**spectrum** is available on Pypi::

    pip install spectrum

and **conda**::

    conda config --append channels conda-forge

    conda install spectrum

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

Contributions

==================

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

Changelog (summary)

===================

========== ============================================================

release    description

========== ============================================================

0.9.0      * handles new numpy API (keeping back compatiblity).

           * included https://github.com/cokelaer/spectrum/pull/73

             thanks to @butala contribution to speed up fft.

           * fix rho calculation in burg algo thanks to contri

             https://github.com/cokelaer/spectrum/pull/82 from @cl445

           * remove warnings/deprecation related to pkgresources, numpy

             and scipy.

           * ran black through entire code.

0.8.1      * move CI to github actions

           * include python 3.9 support

           * include PR from tikuma-lshhsc contributor to speedup

             eigenfre module

           * fix deprecated warnings

========== ============================================================

Some notebooks (external contributions)

-------------------------------------------

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