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skmad-suite
tff2020
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1ba5b622
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1ba5b622
authored
Dec 03, 2020
by
Ama-marina Kreme
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Update README.md
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@@ -8,11 +8,13 @@ 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 can be reproduced in Matlab by running file
`run_illustration_cuicui_eigenvalues.m`
*
Figure 2 can be reproduced in Matlab by running file
`exp_eigenval_win.m`
.
*
Figure 3 can be reproduced in Matlab by running file
`rank_estimation_halko_vs_eigs_gausswin.m`
.
*
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`
.
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