BiSPy : a python framework for signal processing of bivariate signals

BiSPy is an open-source python framework for signal processing of bivariate signals. It comes in addition of the paper

Julien Flamant, Nicolas Le Bihan, Pierre Chainais: “Time-frequency analysis of bivariate signals”, 2016; arXiv:1609.0246

The paper contains theoretical results and several applications that can be reproduced with this toolbox.

This python toolbox is currently under development and is hosted on GitHub. If you encounter a bug or something unexpected please let me know by raising an issue on the project page.

Requirements

• NumPy
• SciPy
• Matplotlib
• quaternion

quaternion add quaternion dtype support to numpy. Implementation by [moble]. Since this python toolbox relies extensively on this module, you can check out first the nice introduction here.

Licence

This software is distributed under the CeCILL Free Software Licence Agreement