Skip to main content

Perform signal analysis

Project description

# siganalysis

[![Build Status][travis image]][travis link] [![PyPi Version][pypi ver image]][pypi ver link] [![Coverage Status][coveralls image]][coveralls link]

Python (2.7+/3.4+) routines for analyzing signals. Some of the functions include:

  • Calculating Short-Term Fourier Transform

  • Smoothing a signal

  • Plotting an STFT’s spectrogram

  • Calculating the peak hold of an STFT in the freq domain

  • Plotting the peak hold of an STFT

The above functions are handy when analyzing signals recorded in the time domain, such as using a TEAC LX-10 data recorder, and seeing the frequency spectrum. This is usefull for Electromagnetic Compatibiliity (EMC) analyses.

## Installation

You can install [siganalysis][] either via the Python Package Index (PyPI) or from source.

To install using pip:

`bash $ pip install siganalysis `

Source: https://github.com/questrail/siganalysis

## Requirements

[siganalysis][] requires the following Python packages:

  • [numpy][]

  • [scipy][]

  • [matplotlib][]

## Contributing

[siganalysis][] is developed using [Scott Chacon][]’s [GitHub Flow][]. To contribute, fork [siganalysis][], create a feature branch, and then submit a pull request. [GitHub Flow][] is summarized as:

  • Anything in the master branch is deployable

  • To work on something new, create a descriptively named branch off of master (e.g., new-oauth2-scopes)

  • Commit to that branch locally and regularly push your work to the same named branch on the server

  • When you need feedback or help, or you think the brnach is ready for merging, open a [pull request][].

  • After someone else has reviewed and signed off on the feature, you can merge it into master.

  • Once it is merged and pushed to master, you can and should deploy immediately.

### Running the Tests

[siganalysis][] has been tested against Python 2.7 and Python 3.4. While [siganalysis][] may work with other versions of Python, it hasn’t been tested with anything else at this time. Assuming you have [virtualenv][] and [virtualenvwrapper][] installed, you can run the following commands to clone the GitHub repository, create a virtualenv, and run the unit tests:

`bash $ git clone https://github.com/questrail/siganalysis.git $ cd siganalysis $ mkvirtualenv siganalysis $ pip install -r requirements.txt $ nosetests `

## License

[siganalysis][] is released under the MIT license. Please see the [LICENSE.txt][] file for more information.

[coveralls image]: https://coveralls.io/repos/questrail/siganalysis/badge.png [coveralls link]: https://coveralls.io/r/questrail/siganalysis [github flow]: http://scottchacon.com/2011/08/31/github-flow.html [LICENSE.txt]: https://github.com/questrail/siganalysis/blob/develop/LICENSE.txt [numpy]: http://www.numpy.org [matplotlib]: http://matplotlib.org [pull request]: https://help.github.com/articles/using-pull-requests [pypi ver image]: https://badge.fury.io/py/siganalysis.png [pypi ver link]: http://badge.fury.io/py/siganalysis [scipy]: http://www.scipy.org [scott chacon]: http://scottchacon.com/about.html [siganalysis]: https://github.com/questrail/siganalysis [travis image]: https://travis-ci.org/questrail/siganalysis.png?branch=master [travis link]: https://travis-ci.org/questrail/siganalysis [virtualenv]: https://virtualenv.pypa.io/en/latest/ [virtualenvwrapper]: http://virtualenvwrapper.readthedocs.org/en/latest/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

siganalysis-0.2.tar.gz (8.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page