diff --git a/matlab/README.md b/matlab/README.md index 555e3a08e9ecbc04bd0f11b382f14ee7b91ebdbc..54c8ce8dcc808e63f12bff4ac4b77472774987c3 100644 --- a/matlab/README.md +++ b/matlab/README.md @@ -7,27 +7,23 @@ filtering out. More precisely, it is a Matlab implementation of the algorithms from *Time-frequency fading algorithms based on Gabor multipliers, by, A. Marina Kr�m�, Valentin Emiya, Caroline Chaux, and Bruno Torr�sani, 2020*. -For more information please contact ama-marina.kreme@univ-amu.fr/ama-marina.kreme@lis-lab.fr +For more information please contact ama-marina.kreme@univ-amu.fr ## Installation +Download the folder "tff2020" into the directory of your choice. +Then within MATLAB go to file >> Set path... and add the directory containing + "tff2020/matlab" to the list (if it isn't already). +## Dependencies - +This package requires *The Large Time Frequency Analysis Toolbox (LTFAT)* +which can be downloaded at https://ltfat.github.io ## Usage See the documentation. -## Bugs -Please report any bugs that you find through the skpomade GitLab project. -You can also fork the repository and create a merge request. - - -## Source code -The source code of skpomade 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:valentin.emiya/skpomade.git ## Copyright � 2019-2020 @@ -43,17 +39,3 @@ A. Marina KREME -********************************************************************************************************************** -* author: A. Marina KREME -* institution: Institut de Math�matiques de Marseille (I2M) / Laboratoire d?Informatique et des syst�mes (LIS) - Aix-Marseille University, France. - -* date: May, 2020 -% revision date : -********************************************************************************************************************** -*********************************************************************************************************************** -* RECOMMENDATIONS: -* This toolbox is designed to work with -* Matlab R2017b (9.3.0.713579) and The Large Time Frequency Analysis Toolbox (LTFAT) which can be downloaded at https://ltfat.github.io -*********************************************************************************************************************** - -----------------------------