BiSPy：用于双变量信号信号处理的python框架_Jupyter Notebook_Python_下载.zip

# BiSPy : Bivariate Signal Processing with Python [](https://bispy.readthedocs.org) [](https://travis-ci.org/jflamant/bispy) BiSPy is an open-source python framework for processing bivariate signals. It supports our papers on time-frequency analysis [1], spectral analysis [2] and linear time-invariant filtering [3] of bivariate signals. > [1] Julien Flamant, Nicolas Le Bihan, Pierre Chainais: “Time-frequency analysis of bivariate signals”, In press, Applied and Computational Harmonic Analysis, 2017; [arXiv:1609.0246](http://arxiv.org/abs/1609.02463), [doi:10.1016/j.acha.2017.05.007](https://doi.org/10.1016/j.acha.2017.05.007) > [2] Julien Flamant, Nicolas Le Bihan, Pierre Chainais: “Spectral analysis of stationary random bivariate signals”, 2017, IEEE Transactions on Signal Processing; [arXiv:1703.06417](http://arxiv.org/abs/1703.06417), [doi:10.1109/TSP.2017.2736494](https://doi.org/10.1109/TSP.2017.2736494) > [3] Julien Flamant, Pierre Chainais, Nicolas Le Bihan: “A complete framework for linear filtering of bivariate signals”, 2018; Accepted for publication in IEEE Transactions on Signal Processing; [arXiv:1802.02469](https://arxiv.org/abs/1802.02469) These papers 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](https://github.com/jflamant/bispy/issues) on the project page. Requirements ============ BiSPy works with python 3.5+. Dependencies: - [NumPy](http://www.numpy.org) - [SciPy](https://www.scipy.org) - [Matplotlib](http://matplotlib.org) - [numpy-quaternion](https://github.com/moble/quaternion) To install dependencies: ```shell pip install numpy scipy matplotlib numpy-quaternion ``` [quaternion](https://github.com/moble/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](https://github.com/moble). ### Install from sources Clone this repository ```bash git clone https://github.com/jflamant/bispy.git cd bispy ``` And execute `setup.py` ```bash pip install . ``` Licence ======= This software is distributed under the [CeCILL Free Software Licence Agreement](http://www.cecill.info/licences/Licence_CeCILL_V2-en.html) Cite this work ============== If you use this package for your own work, please consider citing it with this piece of BibTeX: ```bibtex @misc{BiSPy, title = {{BiSPy: an Open-Source Python project for processing bivariate signals}}, author = {Julien Flamant}, year = {2018}, url = {https://github.com/jflamant/bispy/}, howpublished = {Online at: \url{github.com/jflamant/bispy/}}, note = {Code at https://github.com/jflamant/bispy/, documentation at https://bispy.readthedocs.io/} } ```