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skmad-suite
tff2020
Commits
29bcc469
Commit
29bcc469
authored
Dec 03, 2020
by
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
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@@ -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
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@@ -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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