Commit 29bcc469 authored by Marina Kreme's avatar Marina Kreme
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......@@ -7,13 +7,13 @@ filtering out. More precisely, it is a Matlab implementation of the algorithms
from *Time-frequency fading algorithms based on Gabor multipliers, by,
A. Marina Krm, Valentin Emiya, Caroline Chaux, and Bruno Torrsani, 2020*.
For more information please contact ama-marina.kreme@univ-amu.fr
For more information please contact ama-marina.kreme@univ-amu.fr/valentin.emiya@lis-lab.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).
"tff2020/matlab" to the list (if it isn't already).
## Dependencies
......@@ -25,12 +25,21 @@ which can be downloaded at https://ltfat.github.io
See the documentation.
To reproduce figures on the aforementioned paper, go to the
following directory : "tfgm/scripts" and then run the file
**solve_1area_cuicui.m**
To reproduce the aforementioned paper figures:
You can also run the scripts **solve_all_tff1.m**,
**solve_all_tffP.m** for more experiments
- Figure 1 and 2 can be reproduced by running
**tff2020/matlab/tfgm/scripts/exp_gabmul_eigs_properties.m**
- Figure 3 can be reproduced by running
**tff2020/matlab/tfgm/scripts/rank_estimation_halko_vs_eigs_gausswin.m**
- Figure 4 and 5 can be reproduced by running
**tff2020/matlab/tfgm/scripts/exp_tff1_car_bird.m**
You can also run the scripts
**tff2020/matlab/tfgm/scripts/exp_all_tff1.m** et
**tff2020/matlab/tfgm/scripts/exp_all_tffP.m**
for more experiments
## Copyright 2019-2020
......@@ -42,6 +51,8 @@ You can also run the scripts **solve_all_tff1.m**,
## Contributors
- [A. Marina Krm](ama-marina.kreme@univ-amu.fr)
- [Valentin Emiya](valentin.emiya@lis-lab.fr)
......
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