Skip to main content

Beautiful signal processing and communications algorithms in Python

Project description

Travis Coveralls PyPI Version PyPI Downloads PyPI Python Versions

Velvet

“That’s beautiful, what is that velvet?”

Velvet provides signal processing and communications algorithms in Python. Typical usage often looks like this:

#!/usr/bin/env python

import velvet as vt

Install

Requirements/Dependencies

  • Python 2.7 or above

  • NumPy 1.7 or above

  • SciPy 0.13 or above

  • Matplotlib 1.3.1 or above

The package is available on PyPI:

$ pip install velvet

To get the latest development work, clone from github and install as follows:

$ git clone https://github.com/sgwoodjr/velvet.git
$ cd velvet
$ python setup.py install

Unit testing:

$ nosetests -v

Run unit tests with a coverage report:

$ nosetests -v --with-coverage --cover-html --cover-package=velvet

Contribute

Write a bug report or send a pull request.
Here is what others have done contributors

License

Copyright (c) 2015 SGW
The source code is available under the New BSD License.
See LICENSE for further details.

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

velvet-0.0.2.tar.gz (7.2 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