Mercurial > hg > aimc
diff trunk/matlab/bmm/carfac/CARFAC_Run_Segment.m @ 536:2964a3b4a00a
New design params, including narrower AGC, Greenwood map for more channels, default 71, some renaming, open loop feature, ...
author | dicklyon@google.com |
---|---|
date | Thu, 22 Mar 2012 22:37:56 +0000 |
parents | 95a11cca4619 |
children | 89b1fe5de60f |
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--- a/trunk/matlab/bmm/carfac/CARFAC_Run_Segment.m Fri Mar 16 04:31:56 2012 +0000 +++ b/trunk/matlab/bmm/carfac/CARFAC_Run_Segment.m Thu Mar 22 22:37:56 2012 +0000 @@ -17,8 +17,8 @@ % See the License for the specific language governing permissions and % limitations under the License. -function [naps, CF] = CARFAC_Run_Segment(CF, input_waves) -% function [naps, CF, decim_naps] = CARFAC_Run_Segment(CF, input_waves) +function [naps, CF, BM] = CARFAC_Run_Segment(CF, input_waves, open_loop) +% function [naps, CF, BM] = CARFAC_Run_Segment(CF, input_waves, open_loop) % % This function runs the CARFAC; that is, filters a 1 or more channel % sound input segment to make one or more neural activity patterns (naps); @@ -31,7 +31,7 @@ % % naps has a row per time sample, a column per filterbank channel, and % a layer per audio channel if more than 1. -% decim_naps is like naps but time-decimated by the int CF.decimation. +% BM is basilar membrane motion (filter outputs before detection). % % the input_waves are assumed to be sampled at the same rate as the % CARFAC is designed for; a resampling may be needed before calling this. @@ -45,6 +45,16 @@ % CF = CARFAC_Design(fs, CF_CAR_params, CF_AGC_params, n_ears) % transfns = CARFAC_Transfer_Functions(CF, to_chans, from_chans) +if nargin < 3 + open_loop = 0; +end + +if nargout > 2 + do_BM = 1; +else + do_BM = 0; +end + [n_samp, n_ears] = size(input_waves); if n_ears ~= CF.n_ears @@ -53,6 +63,9 @@ n_ch = CF.n_ch; naps = zeros(n_samp, n_ch, n_ears); % allocate space for result +if do_BM + BM = zeros(n_samp, n_ch, n_ears); +end detects = zeros(n_ch, n_ears); for k = 1:n_samp @@ -67,6 +80,9 @@ detects(:, ear) = ihc_out; % for input to AGC, and out to SAI naps(k, :, ear) = ihc_out; % output to neural activity pattern + if do_BM + BM(k, :, ear) = car_out; + end end % run the AGC update step, taking input from IHC_state, % decimating internally, all ears at once due to mixing across them: @@ -74,7 +90,7 @@ CF.AGC_coeffs, detects, CF.AGC_state); % connect the feedback from AGC_state to CAR_state when it updates - if updated + if updated & ~open_loop CF = CARFAC_Close_AGC_Loop(CF); end end