Description:
tffpy 0.1.5
A Python package for time-frequency fading using Gabor multipliers based on
the work in paper Time-frequency fading algorithms based on Gabor
multipliers by A. Marina Krémé, Valentin Emiya, Caroline
Chaux and Bruno Torré́sani, 2020.
Install
Install the current release with pip:
pip install tffpy
Download the data from this link.
Then run function tffpy.utils.generate_config in order to create
a configuration file and modify it to specify the path to your data folder.
The location of the configuration file is given by function
tffpy.utils.get_config_file.
For additional details, see doc/install.rst.
Usage
See the documentation.
Bugs
Please report any bugs that you find through the tffpy GitLab project.
You can also fork the repository and create a merge request.
Source code
The source code of tffpy is available via its GitLab project.
You can clone the git repository of the project using the command:
git clone git@gitlab.lis-lab.fr:skmad-suite/tff2020.git
Copyright © 2020
Laboratoire d’Informatique et Systèmes
Université d’Aix-Marseille
Centre National de la Recherche Scientifique
Université de Toulon
Contributors
Valentin Emiya
Ama Marina Krémé
License
Released under the GNU General Public License version 3 or later
(see LICENSE.txt).
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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