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@@ -0,0 +1,41 @@
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+function [A2B pv max_err] = A2B_matrix(Y, X, v_z_factor)
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+ % fit 4x4 matrix to measured mic data
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+ %
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+ % Y is the n x m matrix of measurments (’observations’),
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+ % n is number of measurement directions
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+ % m is number of microphones
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+ % X is the n x 3 matrix of are the direction cosines of the
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+ % measurment directions (’predictor variables’)
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+ % pv is the matrix of unknowns to be estimated
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+ % so Y = X pv
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+ if (nargin < 2 )
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+ X = measurement_dirs_z0(size(Y,1));
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+ end
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+ X1 = [ ones(size(Y,1), 1) X ];
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+ pv = X1 \ Y;
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+ max_err = max (Y - (X1 * pv));
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+ pv = fill_v_z( pv );
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+ A2B = [sqrt(2)/2 0 0 0; 0 1 0 0; 0 0 1 0; 0 0 0 1] / pv;
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+end
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+
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+function X = measurement_dirs_z0(n)
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+ if (nargin < 1)
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+ n = 8;
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+ end
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+ x_range = 0 : 2*pi/n : 2*pi*(n-1)/n;
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+ X = [ cos(x_range)' sin(x_range)' zeros(n,1) ];
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+end
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+
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+function pv = fill_v_z (pv, signs, elevation)
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+ if (nargin < 2)
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+ signs = [ +1 -1 -1 +1 ];
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+ end;
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+ if (nargin < 3)
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+ z_factor = sqrt(2)/2;
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+ else
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+ z_factor = tan(elevation);
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+ end;
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+ for i = 1:4
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+ pv(4,i) = signs(i) * sqrt( pv(2,i)^2 + pv(3,i)^2 ) * z_factor;
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+ end;
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+end
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