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# TFF2020 - Time-Frequency Fading
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Code and data to reproduce experiments from paper
 *Time-frequency fading algorithms based on Gabor multipliers*
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 by A. Marina Krémé, Valentin Emiya, Caroline Chaux and Bruno Torrésani, 2020.
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The sound material is available in folder 'data'.

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The code is available in folders 'matlab' and 'python'. The main experiments are available in both programming languages:

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* Figure 1 and 2 can be reproduced in Matlab by running `tff2020/matlab/tfgm/scripts/exp_gabmul_eigs_properties.m`.
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* Figure 3 can be reproduced in Matlab by running file `tff2020/matlab/tfgm/scripts/rank_estimation_halko_vs_eigs_gausswin.m`.
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* Figure 4 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`.
* Figure 5 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`.
* Figure 6 can be reproduced in Python by running the full experiment from `tffpy.scripts.script_exp_solve_tff.py`.
* Table I can be reproduced in Python by running the full experiment from `tffpy.scripts.script_exp_solve_tff.py`.
* Table II can be reproduced in Python by running the full experiment from `tffpy.scripts.script_exp_solve_tff.py`.
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