?? haarapprox.m
字號:
function HaarApprox(normalization, save)% HaarApprox(normalization, save) does a Haar wavelet decomposition of a% simple function, and plots the scaling function and wavelet coefficients.% The normalization parameter can be 'max' or 'L2'. If save is present, the% plot is saved as an EPS file.% Settings:filename = 'haar1d-approx.ps';arrows = 0;jinf = 8;jmax = 4;jmin = 0;hspacing = 2.0; % horizontal spacing between functionshsize = 1.6; % horizontal size of each functionvspacing = 1.2; % vertical spacing between functionsvsize = 0.5; % vertical sizevgap = vspacing - vsize;% Set up plot:clg;hold on;axis off;axis equal;% Axes:axis1_x = [0, 0, 1];axis1_y = [1, 0, 0];axis2_x = [0, 0, nan, 0, 1];axis2_y = [0.5, -0.5, nan, 0, 0];% True function:xinf = [0:2^jinf] / 2^jinf;yinf = (10 * exp(-16*xinf/3) .* sin(8*xinf) + 1)/6;plot(axis1_x*hsize, axis1_y*vsize + vspacing*(jmax-jmin), 'w');plot(xinf*hsize, yinf*vsize + vspacing*(jmax-jmin), ':w');% Finest scaling function approximation, computed by averaging:y = zeros(1, 2^jmax);for i = 1:2^(jinf-jmax) y = y + yinf(i:2^(jinf-jmax):2^jmax*(2^(jinf-jmax)-1)+i);end;y = y / 2^(jinf-jmax);if strcmp(normalization, 'L2') y = y/2^(jmax/2);end;[xp, yp] = HaarCoords(y, normalization);plot(xp*hsize, yp*vsize + vspacing*(jmax-jmin), 'w', 'LineWidth', 2);if nargin > 1 % Latex stuff: disp([' \begin{picture}(' num2str(hspacing + hsize) ',' ... num2str(vspacing*(jmax-jmin+1) - vgap/2) ')(0,' ... num2str(-vgap/2) ')']); disp([' \putbl{0,0}{\psfig{file=' filename ',width=' ... num2str(hspacing + hsize) 'in}}']); disp([' \putt{' num2str(hsize/2) ',' ... num2str(vspacing*(jmax-jmin-0.1)) ... '}{\small $V^' num2str(jmax) '$ approximation}']);else plot(hsize/2, vspacing*(jmax-jmin)-0.1, 'o');end;% Repeatedly do summing and differencing on shorter and shorter part of y.j = jmax;len = 2^j;while len >= 2 y = HaarDecompStep(y, len, normalization); len = len/2; j = j - 1; [xp, yp] = HaarCoords(y(1:len), normalization); plot(axis1_x*hsize, axis1_y*vsize + vspacing*(j-jmin), 'w'); plot(xinf*hsize, yinf*vsize + vspacing*(j-jmin), ':w'); plot(xp*hsize, yp*vsize + vspacing*(j-jmin), 'w', 'LineWidth', 2); if nargin > 1 % Latex stuff: if arrows disp([' \put(' num2str(hsize/2) ',' ... num2str(vspacing*(j-jmin+0.75)) ... '){\vector(0,-1){' num2str(0.7*vspacing-vsize) '}}']); end; disp([' \putt{' num2str(hsize/2) ',' ... num2str(vspacing*(j-jmin)-0.1) ... '}{\small $V^' num2str(j) '$ approximation}']); else if arrows plot([hsize/2 hsize/2], ... [vspacing*(j-jmin+0.75) ... vspacing*(j-jmin+0.75)-(0.7*vspacing-vsize)]); end; plot(hsize/2, vspacing*(j-jmin)-0.1, 'o'); end; xp = [1:2:2^(j+1)-1]/2^(j+1); yp = y(len+1:2*len); plot(axis2_x*hsize + hspacing, ... axis2_y*vsize + vspacing*(j-jmin) + vsize/2, 'w'); plot(xp*hsize + hspacing, 2*yp*vsize + vspacing*(j-jmin) + vsize/2, 'wo'); w = 0.5*hsize; h = 0.7*vspacing-vsize; slope = round(w/h); w = h*slope; if nargin > 1 % Latex stuff: if arrows disp([' \put(' num2str(0.9*hsize) ',' ... num2str(vspacing*(j-jmin+0.75)) ... '){\vector(' num2str(slope) ... ',-1){' num2str(w) '}}']); end; disp([' \putt{' num2str(hsize/2 + hspacing) ',' ... num2str(vspacing*(j-jmin)-0.1) ... '}{\small $W^' num2str(j) ... '$ detail coefficient' (j>0)*'s}'+(j==0)*'} ']); else if arrows plot([0.9*hsize 0.9*hsize+w], ... [vspacing*(j-jmin+0.75) vspacing*(j-jmin+0.75)-(w/slope)]); end; plot(hsize/2 + hspacing, vspacing*(j-jmin)-0.1, 'o'); end;end;if nargin > 1 disp(['Saving EPS to "' filename '"...']); print('-deps', filename);end;
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