TFF2020 - Time-Frequency Fading
Code and data to reproduce experiments from paper Time-frequency fading algorithms based on Gabor multipliers by A. Marina Krémé, Valentin Emiya, Caroline Chaux and Bruno Torrésani, 2020.
The sound material is available in folder 'data'.
The code is available in folders 'matlab' and 'python'. The main experiments are available in both programming languages:
- Figure 1 and 2 can be reproduced in Matlab by running
tff2020/matlab/tfgm/scripts/exp_gabmul_eigs_properties.m. - Figure 3 can be reproduced in Matlab by running file
tff2020/matlab/tfgm/scripts/rank_estimation_halko_vs_eigs_gausswin.m. - 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.