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- %%
- %% *SpHEAR Project
- %%
- %% sphear_fir_design: design a matrix of FIR filters that equalizes the microphone
- %%
- %% usage:
- %% [FIR] = sphear_fir_design(F, A2BF, n, Fs, Fl, W, XYZ)
- %%
- %% F: array of filter section center frequencies
- %% A2BF: vector of A2B matrixes, one for each frequency
- %% n: order of the FIR filter being created
- %% maxboost: max high and low frequency boost in dB of the final filter
- %% Fs: sampling rate
- %% Fl: frequency limit, below it use A2B matrixes, above it use WXYZ shapes
- %%
- %% for the first run do not supply W/XYZ, render the filters and then run
- %% sphear_fir_extract to extract the W and XYZ filter shapes, finally run
- %% this again with the extra parameters below
- %%
- %% W: extracted shape of W filter (used above Fl)
- %% XYZ: extracted shape of X, Y and Z filters (used above Fl)
- %%
- %% Copyright 2016, Fernando Lopez-Lezcano, All Rights Reserved
- %% nando@ccrma.stanford.edu
- %%
- %% This program is free software: you can redistribute it and/or modify
- %% it under the terms of the GNU General Public License as published by
- %% the Free Software Foundation, either version 3 of the License, or
- %% (at your option) any later version.
- %%
- %% This program is distributed in the hope that it will be useful,
- %% but WITHOUT ANY WARRANTY; without even the implied warranty of
- %% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- %% GNU General Public License for more details.
- %%
- %% You should have received a copy of the GNU General Public License
- %% along with this program. If not, see <http://www.gnu.org/licenses/>.
- function [FIR] = sphear_fir_design(F, A2BF, n, maxboost, Fs, Fl, W, XYZ)
- fig = figure;
- %% all b format components
- for b = 1:4
- %% all capsules
- for c = 1:4
- for d = 1:size(A2BF(:,1,1))(1)
- if (F(d) <= Fl)
- %% below the limit frequency we use the A2B coefficients
- vlast = A2BF(d, c, b);
- dlast = d;
- if (exist("W") == 1)
- wlast = W(d);
- end
- if (exist("XYZ") == 1)
- xyzlast = XYZ(d);
- end
- else
- %% above the limit frequency we interpolate the W and XYZ
- %% filters if they exist, otherwise keep the last valid value
- if (b == 1)
- if (exist("W") == 1)
- A2BF(d, c, b) = vlast * (W(d)/wlast);
- else
- A2BF(d, c, b) = vlast;
- end
- else
- if (exist("XYZ") == 1)
- A2BF(d, c, b) = vlast * (XYZ(d)/xyzlast);
- else
- A2BF(d, c, b) = vlast;
- end
- end
- end
- end
- %% fit a spline to the W and XYZ segments and extrapolate
- %% highest frequency if it does not exist in the measurements
- %%
- %% the 200Hz spacing of the points is arbitrary, we should
- %% select something that makes more sense
- fh = (F(dlast-1)/(Fs/2):200/(Fs/2):1)';
- %% make the end really 1.0
- fh(end) = 1;
- rh = interp1(F(dlast-1:end)/(Fs/2), A2BF(dlast-1:end,c,b)', fh, "cubic", "extrap");
- %% we design the spline taking into account one additional point
- %% on the bottom edge so that it will fit better with the existing
- %% low frequency points, now we need to find the exact transition
- %% frequency in the interpolated array
- for idx = 1:size(fh(:))
- if (fh(idx) <= F(dlast)/(Fs/2))
- istart = idx;
- end
- end
-
- %% extract the low frequency A2B coefficients
- fl = [0 F(1:dlast-1)']' ./ (Fs/2);
- rl = [A2BF(1,c,b) A2BF(1:dlast-1,c,b)']';
- %% concatenate low and high frequency arrays
- fi = cat(1, fl, fh(istart:end));
- ri = cat(1, rl, rh(istart:end));
- printf("low frequency boost %f, high frequency boost %f\n", 20*log10(ri(1)), 20*log10(ri(end)));
- %% force a max boost at low and high frequencies
- if (maxboost != 0)
- if (abs(ri(1)) > 10^(maxboost/20))
- printf("limit low freq boost from %f to %f dB (%f)\n", 20*log10(ri(1)), maxboost, ri(1));
- ri(1) = sign(ri(1)) * 10^(maxboost/20);
- printf("new limit %f\n", ri(1));
- end
- if (abs(ri(end)) > 10^(maxboost/20))
- printf("limit high freq boost from %f dB to %f dB (%f)\n", 20*log10(ri(end)), maxboost, ri(end));
- ri(end) = sign(ri(end)) * 10^(maxboost/20);
- printf("new limit %f\n", ri(end));
- end
- end
-
- %% plot real measured points
- axis([300, 24000]);
- grid on;
- if (b == 1)
- semilogx(F, 20*log10(abs(A2BF(:,c,b)))','*k');
- else
- semilogx(F, 20*log10(abs(A2BF(:,c,b)))','*k');
- end
- hold on;
- %% plot extrapolated spline
- if (b == 1)
- semilogx(fi*(Fs/2), 20*log10(abs(ri)), 'b');
- else
- semilogx(fi*(Fs/2), 20*log10(abs(ri)), 'r');
- end
-
- %% design the filter
- FIR(b, c, :) = fir2(n, fi, ri);
- end
- end
-
- if (exist("W") == 1)
- print(fig, '-dpng','-color',["figures/w_xyz_filter_full.png"]);
- else
- print(fig, '-dpng','-color',["figures/w_xyz_filter_low.png"]);
- end
- end
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