library for robust signal processing
Project description
robustsp
This package contains the functions that are currently available in the RobustSP toolbox: a Matlab toolbox for robust signal processing [1] in Python. The toolbox can be freely used for non-commercial use only. Please make appropriate references to the book:
Zoubir, A. M., Koivunen, V., Ollila, E., and Muma, M. Robust Statistics for Signal Processing Cambridge University Press, 2018.
[1] https://github.com/RobustSP/toolbox
Dependencies
- Python 3
- numpy
- matplotlib
- scipy
- statsmodels
Installation
There are two ways to install this package
Installation version 1
Just run the following line in the command line:
pip install robustsp
Installation version 2
If you would like to have the source files of the package easily accessible.
- Download the files.
- Unzip the files where you want them (if you downloaded the repo as a zip file)
- Open a command window in the freshly unzipped folder (should be called robustsp-master or something like that and contain setup.py)
- Run in in the command window:
pip install -e .(Don't forget the dot)
Examples
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size robustsp-0.1.1-py3-none-any.whl (1.9 MB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size robustsp-0.1.1.tar.gz (1.8 MB) | File type Source | Python version None | Upload date | Hashes View |
