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1 % Copyright 2012, Google, Inc.
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2 % Author: Richard F. Lyon
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3 %
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4 % This Matlab file is part of an implementation of Lyon's cochlear model:
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5 % "Cascade of Asymmetric Resonators with Fast-Acting Compression"
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6 % to supplement Lyon's upcoming book "Human and Machine Hearing"
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7 %
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8 % Licensed under the Apache License, Version 2.0 (the "License");
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9 % you may not use this file except in compliance with the License.
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10 % You may obtain a copy of the License at
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11 %
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12 % http://www.apache.org/licenses/LICENSE-2.0
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13 %
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14 % Unless required by applicable law or agreed to in writing, software
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15 % distributed under the License is distributed on an "AS IS" BASIS,
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16 % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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17 % See the License for the specific language governing permissions and
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18 % limitations under the License.
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19
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20 function [complex_transfns_freqs, ...
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21 stage_numerators, stage_denominators, group_delays] = ...
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22 CARFAC_Transfer_Functions(CF, freqs, to_channels, from_channels)
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23 % function [complex_transfns_freqs, ...
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24 % stage_numerators, stage_denominators, group_delays] = ...
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25 % CARFAC_Transfer_Functions(CF, freqs, to_channels, from_channels)
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26 %
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27 % Return transfer functions as polynomials in z (nums & denoms);
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28 % And evaluate them at freqs if it's given, to selected output,
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29 % optionally from selected starting points (from 0, input, by default).
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30 % complex_transfns_freqs has a row of complex gains per to_channel.
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31
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32 % always start with the rational functions, whether we want to return
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33 % them or not:
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34 [stage_numerators, stage_denominators] = CARFAC_Rational_Functions(CF);
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35
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36 if nargin >= 2
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37 % Evaluate at the provided list of frequencies.
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38 if ~isrow(freqs)
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39 if iscolumn(freqs)
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40 freqs = freqs';
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41 else
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42 error('Bad freqs_row in CARFAC_Transfer_Functions');
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43 end
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44 end
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45 if any(freqs < 0)
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46 error('Negatives in freqs_row in CARFAC_Transfer_Functions');
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47 end
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48 z_row = exp((i * 2 * pi / CF.fs) * freqs); % z = exp(sT)
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49 gains = Rational_Eval(stage_numerators, stage_denominators, z_row);
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50
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51 % Now multiply gains from input to output places; use logs?
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52 log_gains = log(gains);
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53 cum_log_gains = cumsum(log_gains); % accum across cascaded stages
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54
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55 % And figure out which cascade products we want:
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56 n_ch = CF.n_ch;
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57 if nargin < 3
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58 to_channels = 1:n_ch;
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59 end
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60 if isempty(to_channels) || any(to_channels < 1 | to_channels > n_ch)
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61 error('Bad to_channels in CARFAC_Transfer_Functions');
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62 end
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63 if nargin < 4 || isempty(from_channels)
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64 from_channels = 0; % tranfuns from input, called channel 0.
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65 end
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66 if length(from_channels) == 1
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67 from_channels = from_channels * ones(1,length(to_channels));
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68 end
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69 % Default to cum gain of 1 (log is 0), from input channel 0:
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70 from_cum = zeros(length(to_channels), length(z_row));
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71 not_input = from_channels > 0;
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72 from_cum(not_input, :) = cum_log_gains(from_channels(not_input), :);
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73 log_transfns = cum_log_gains(to_channels, :) - from_cum;
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74 complex_transfns_freqs = exp(log_transfns);
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75
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76 if nargout >= 4
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77 phases = imag(log_gains); % no wrapping problem on single stages
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78 cum_phases = cumsum(phases); % so no wrapping here either
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79 group_delays = -diff(cum_phases')'; % diff across frequencies
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80 group_delays = group_delays ./ (2*pi*repmat(diff(freqs), n_ch, 1));
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81 end
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82 else
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83 % If no freqs are provided, do nothing but return the stage info above:
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84 complex_transfns_freqs = [];
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85 end
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86
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87
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88
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89 function gains = Rational_Eval(numerators, denominators, z_row)
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90 % function gains = Rational_Eval(numerators, denominators, z_row)
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91 % Evaluate rational function at row of z values.
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92
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93 zz = [z_row .* z_row; z_row; ones(size(z_row))];
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94 % dot product of each poly row with each [z2; z; 1] col:
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95 gains = (numerators * zz) ./ (denominators * zz);
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96
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97
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98 function [stage_numerators, stage_denominators] = ...
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99 CARFAC_Rational_Functions(CF)
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100 % function [stage_z_numerators, stage_z_denominators] = ...
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101 % CARFAC_Rational_Functions(CF, chans)
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102 % Return transfer functions of all stages as rational functions.
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103
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104 n_ch = CF.n_ch;
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105 coeffs = CF.filter_coeffs;
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106 min_zeta = CF.filter_params.min_zeta;
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107
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108 a0 = coeffs.a0_coeffs;
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109 c0 = coeffs.c0_coeffs;
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110 zr = coeffs.zr_coeffs;
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111
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112 % get r, adapted if we have state:
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113 r = coeffs.r1_coeffs;
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114 if isfield(CF, 'filter_state')
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115 state = CF.filter_state;
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116 zB = state.zB_memory; % current extra damping
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117 r = r - zr .* zB;
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118 else
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119 zB = 0;
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120 end
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121
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122 g = CARFAC_Stage_g(coeffs, zB);
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123 a = a0 .* r;
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124 c = c0 .* r;
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125 r2 = r .* r;
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126 h = coeffs.h_coeffs;
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127
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128 stage_denominators = [ones(n_ch, 1), -2 * a, r2];
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129 stage_numerators = [g .* ones(n_ch, 1), g .* (-2 * a + h .* c), g .* r2];
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130
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131
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132 %% example
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133 % CF = CARFAC_Design
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134 % f = (0:100).^2; % frequencies to 10 kHz, unequally spaced
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135 % to_ch = 10:10:96; % selected output channels
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136 % from_ch = to_ch - 10; % test the inclusion of 0 in from list
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137 % tf = CARFAC_Transfer_Functions(CF, f, to_ch, from_ch);
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138 % figure
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139 % plot(f, 20*log(abs(tf)')/log(10)); % dB vs lin. freq for 10 taps
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140
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