comparison trunk/matlab/bmm/carfac/CARFAC_Design.m @ 559:89b1fe5de60f

Simplify AGC_Step, moving multi-aural cross coupling to new function CARFAC_Cross_Couple

   'v_offset', CAR_params.v_offset, ...
   'v2_corner', CAR_params.v2_corner, ...
   'v_damp_max', CAR_params.v_damp_max ...
   );
 
+% don't really need these zero arrays, but it's a clue to what fields
+% and types are need in ohter language implementations:
 CAR_coeffs.r1_coeffs = zeros(n_ch, 1);
 CAR_coeffs.a0_coeffs = zeros(n_ch, 1);
 CAR_coeffs.c0_coeffs = zeros(n_ch, 1);
 CAR_coeffs.h_coeffs = zeros(n_ch, 1);
 CAR_coeffs.g0_coeffs = zeros(n_ch, 1);

   'n_ch', n_ch, ...
   'n_AGC_stages', n_AGC_stages, ...
   'AGC_stage_gain', AGC_params.AGC_stage_gain);
 
 % AGC1 pass is smoothing from base toward apex;
-% AGC2 pass is back, which is done first now
+% AGC2 pass is back, which is done first now (in double exp. version)
 AGC1_scales = AGC_params.AGC1_scales;
 AGC2_scales = AGC_params.AGC2_scales;
 
 AGC_coeffs.AGC_epsilon = zeros(1, n_AGC_stages);  % the 1/(tau*fs) roughly
 decim = 1;

 
 AGC_coeffs.AGC_gain = total_DC_gain;
 
 % adjust the detect_scale by the total DC gain of the AGC filters:
 AGC_coeffs.detect_scale = AGC_params.detect_scale / total_DC_gain;
-
 
 % % print some results
 AGC_coeffs
 AGC_spatial_FIR = AGC_coeffs.AGC_spatial_FIR
 AGC_spatial_iterations = AGC_coeffs.AGC_spatial_iterations