annotate trunk/matlab/bmm/carfac/CARFAC_Run_Segment.m @ 696:d8a404fbc4df

Rename variables to be consistent with the rest of the library.
author ronw@google.com
date Thu, 27 Jun 2013 15:30:46 +0000
parents 3e2e0ab4f708
children
rev   line source
dicklyon@534 1 % Copyright 2012, Google, Inc.
dicklyon@534 2 % Author Richard F. Lyon
dicklyon@534 3 %
dicklyon@534 4 % This Matlab file is part of an implementation of Lyon's cochlear model:
dicklyon@534 5 % "Cascade of Asymmetric Resonators with Fast-Acting Compression"
dicklyon@534 6 % to supplement Lyon's upcoming book "Human and Machine Hearing"
dicklyon@534 7 %
dicklyon@534 8 % Licensed under the Apache License, Version 2.0 (the "License");
dicklyon@534 9 % you may not use this file except in compliance with the License.
dicklyon@534 10 % You may obtain a copy of the License at
dicklyon@534 11 %
dicklyon@534 12 % http://www.apache.org/licenses/LICENSE-2.0
dicklyon@534 13 %
dicklyon@534 14 % Unless required by applicable law or agreed to in writing, software
dicklyon@534 15 % distributed under the License is distributed on an "AS IS" BASIS,
dicklyon@534 16 % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
dicklyon@534 17 % See the License for the specific language governing permissions and
dicklyon@534 18 % limitations under the License.
dicklyon@534 19
dicklyon@563 20 function [naps, CF, BM, seg_ohc, seg_agc] = CARFAC_Run_Segment(...
dicklyon@563 21 CF, input_waves, open_loop)
dicklyon@563 22 % function [naps, CF, BM, seg_ohc, seg_agc] = CARFAC_Run_Segment(...
dicklyon@563 23 % CF, input_waves, open_loop)
dicklyon@534 24 %
dicklyon@534 25 % This function runs the CARFAC; that is, filters a 1 or more channel
dicklyon@534 26 % sound input segment to make one or more neural activity patterns (naps);
dicklyon@534 27 % it can be called multiple times for successive segments of any length,
dicklyon@534 28 % as long as the returned CF with modified state is passed back in each
dicklyon@534 29 % time.
dicklyon@534 30 %
dicklyon@534 31 % input_waves is a column vector if there's just one audio channel;
dicklyon@534 32 % more generally, it has a row per time sample, a column per audio channel.
dicklyon@534 33 %
dicklyon@534 34 % naps has a row per time sample, a column per filterbank channel, and
dicklyon@534 35 % a layer per audio channel if more than 1.
dicklyon@536 36 % BM is basilar membrane motion (filter outputs before detection).
dicklyon@534 37 %
dicklyon@534 38 % the input_waves are assumed to be sampled at the same rate as the
dicklyon@534 39 % CARFAC is designed for; a resampling may be needed before calling this.
dicklyon@534 40 %
dicklyon@534 41 % The function works as an outer iteration on time, updating all the
dicklyon@534 42 % filters and AGC states concurrently, so that the different channels can
dicklyon@534 43 % interact easily. The inner loops are over filterbank channels, and
dicklyon@534 44 % this level should be kept efficient.
dicklyon@534 45 %
dicklyon@563 46 % seg_ohc seg_agc are optional extra outputs useful for seeing what the
dicklyon@563 47 % ohc nonlinearity and agc are doing; both in terms of extra damping.
dicklyon@534 48
dicklyon@536 49 if nargin < 3
dicklyon@536 50 open_loop = 0;
dicklyon@536 51 end
dicklyon@536 52
dicklyon@536 53 if nargout > 2
dicklyon@536 54 do_BM = 1;
dicklyon@536 55 else
dicklyon@536 56 do_BM = 0;
dicklyon@536 57 end
dicklyon@536 58
dicklyon@534 59 [n_samp, n_ears] = size(input_waves);
dicklyon@534 60
dicklyon@534 61 if n_ears ~= CF.n_ears
dicklyon@534 62 error('bad number of input_waves channels passed to CARFAC_Run')
dicklyon@534 63 end
dicklyon@534 64
dicklyon@534 65 n_ch = CF.n_ch;
dicklyon@534 66 naps = zeros(n_samp, n_ch, n_ears); % allocate space for result
dicklyon@536 67 if do_BM
dicklyon@536 68 BM = zeros(n_samp, n_ch, n_ears);
dicklyon@563 69 seg_ohc = zeros(n_samp, n_ch, n_ears);
dicklyon@563 70 seg_agc = zeros(n_samp, n_ch, n_ears);
dicklyon@536 71 end
dicklyon@534 72
dicklyon@534 73 detects = zeros(n_ch, n_ears);
dicklyon@534 74 for k = 1:n_samp
dicklyon@534 75 % at each time step, possibly handle multiple channels
dicklyon@534 76 for ear = 1:n_ears
dicklyon@563 77
dicklyon@563 78 % This would be cleaner if we could just get and use a reference to
dicklyon@563 79 % CF.ears(ear), but Matlab doesn't work that way...
dicklyon@563 80
dicklyon@561 81 [car_out, CF.ears(ear).CAR_state] = CARFAC_CAR_Step( ...
dicklyon@561 82 input_waves(k, ear), CF.ears(ear).CAR_coeffs, CF.ears(ear).CAR_state);
dicklyon@534 83
dicklyon@534 84 % update IHC state & output on every time step, too
dicklyon@561 85 [ihc_out, CF.ears(ear).IHC_state] = CARFAC_IHC_Step( ...
dicklyon@561 86 car_out, CF.ears(ear).IHC_coeffs, CF.ears(ear).IHC_state);
dicklyon@534 87
dicklyon@559 88 % run the AGC update step, decimating internally,
dicklyon@561 89 [CF.ears(ear).AGC_state, updated] = CARFAC_AGC_Step( ...
dicklyon@565 90 ihc_out, CF.ears(ear).AGC_coeffs, CF.ears(ear).AGC_state);
dicklyon@559 91
dicklyon@559 92 % save some output data:
dicklyon@559 93 naps(k, :, ear) = ihc_out; % output to neural activity pattern
dicklyon@536 94 if do_BM
dicklyon@536 95 BM(k, :, ear) = car_out;
dicklyon@563 96 state = CF.ears(ear).CAR_state;
dicklyon@563 97 seg_ohc(k, :, ear) = state.zA_memory;
dicklyon@563 98 seg_agc(k, :, ear) = state.zB_memory;;
dicklyon@536 99 end
dicklyon@534 100 end
dicklyon@534 101
dicklyon@559 102 % connect the feedback from AGC_state to CAR_state when it updates;
dicklyon@559 103 % all ears together here due to mixing across them:
dicklyon@559 104 if updated
dicklyon@559 105 if n_ears > 1
dicklyon@559 106 % do multi-aural cross-coupling:
dicklyon@561 107 CF.ears = CARFAC_Cross_Couple(CF.ears);
dicklyon@559 108 end
dicklyon@559 109 if ~open_loop
dicklyon@559 110 CF = CARFAC_Close_AGC_Loop(CF);
dicklyon@559 111 end
dicklyon@534 112 end
dicklyon@534 113 end
dicklyon@534 114