Skip to main content

Time frequency fading using Gabor multipliers

Project description

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

Contributors

License

Released under the GNU General Public License version 3 or later (see LICENSE.txt).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tffpy-0.1.5.tar.gz (225.6 kB view hashes)

Uploaded Source

Built Distribution

tffpy-0.1.5-py3-none-any.whl (54.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page