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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 `


## 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 $ 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]: [coveralls link]: [github flow]: [LICENSE.txt]: [numpy]: [matplotlib]: [pull request]: [pypi ver image]: [pypi ver link]: [scipy]: [scott chacon]: [siganalysis]: [travis image]: [travis link]: [virtualenv]: [virtualenvwrapper]:

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