remove folder

matlab/tfgm/time_frequency_filtering/reconstruction.m

-function x = reconstruction(lambda_vec, u_mat_list, s_vect_list)
-
-x =x_mix;
-for i=1:length(lambda_vec)
-       x_rec = recs{i};
-    x = x+x_rec(lambda_vec(i))-x_mix;
-end
-
-end
\ No newline at end of file

matlab/tfgm/time_frequency_filtering/tf_filtering_init.m

-function tf_filtering_init(x_mix, mask, dgt_params, signal_params, multiple_masks)
-
-%%
-if  multiple_masks=='True'
-    n_areas = unique(mask);
-    mask=mask;
-else
-    n_areas=1;
-    mask= mask>0;
-end
-%%
-gabmul_list =cell(length(n_areas),1);
-
-for i =1:length(n_areas)
-    gabmul_list{i} =  gen_gabmul_operator(tight_direct_stft, tight_adjoint_stft, mask_);
-end
-end
-
-% def __init__(self, x_mix, mask, dgt_params, signal_params, multiple_masks):
-%         self.x_mix = x_mix
-%         self.dgt_params = dgt_params
-%         self.signal_params = signal_params
-%         if multiple_masks:
-%             n_areas = np.unique(mask).size - 1
-%             self.mask = mask
-%         else:
-%             n_areas = 1
-%             self.mask = mask > 0
-%         self.gabmul_list = [GaborMultiplier(mask=(mask == i + 1),
-%                                             dgt_params=dgt_params,
-%                                             signal_params=signal_params)
-%                             for i in range(n_areas)]
-%         self.s_vec_list = [None for i in range(n_areas)]
-%         self.u_mat_list = [None for i in range(n_areas)]
-%         self.uh_x_list = [None for i in range(n_areas)]
-%         self.t_arrf = [None for i in range(n_areas)]
-%         self.t_evdn = [None for i in range(n_areas)]
-%         self.t_uh_x = [None for i in range(n_areas)]