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function [A]=OMPerr(D,X,errorGoal)%#codegen
% ========================================================
% Sparse coding of a group of signals based on a given dictionary and specified representation
% error to get.
% input arguments: D - the dictionary
%                           X - the signals to represent
%                           errorGoal - the maximal allowed representation error
% output arguments: A - sparse coefficient matrix.
% ========================================================
[n,P]=size(X);
[n,K]=size(D);
E2 = errorGoal^2*n;
maxNumCoef = n/2;
A = zeros(size(D,2),size(X,2));
% h=waitbar(0,'OMP on each example ...');
for k=1:1,
%     waitbar(k/P);
    a=[];
    x=X(:,k);
    residual=x;
    indx = [];
    a = [];
    currResNorm2 = sum(residual.^2);
    j = 0;
    while currResNorm2>E2 && j < maxNumCoef,
        j = j+1;
        proj=D'*residual;
        pos=find(abs(proj)==max(abs(proj)));
        pos=pos(1);
        indx(j)=pos;
        a=pinv(D(:,indx(1:j)))*x;
        residual=x-D(:,indx(1:j))*a;
        currResNorm2 = sum(residual.^2);
    end;
    if (~isempty(indx))
        A(indx,k)=a;
    end
end;
% close(h);
return;[ À´×Ô¿ÆÑмÒ×å ¿ØÖÆ&ͼÏñ¼Ò×å ]
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  • ¸½¼þ 1 : OMPerr.m
  • 2011-12-23 17:13:13, 1.17 K

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