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Beautiful signal processing and communications algorithms in Python

Project Description

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


This project is still in the planning phase. The foundation of the project is still being configured. Once that is complete, actual signal processing functionality will be added.

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

#!/usr/bin/env python

import velvet as vt



  • 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
$ cd velvet
$ python install

Unit testing:

$ nosetests -v

Run unit tests with a coverage report:

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


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


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

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Filename, size & hash SHA256 hash help File type Python version Upload date
velvet-0.0.2.tar.gz (7.2 kB) Copy SHA256 hash SHA256 Source None Nov 2, 2015

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