Mercurial > hg > smallbox
view util/ksvd utils/collincomb.c @ 77:62f20b91d870
add routines from sparco problems privite folder to {root}\util
some changes to ksvd vs rlsdla image denoising example
author | Ivan <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Fri, 25 Mar 2011 14:01:50 +0000 |
parents | c3eca463202d |
children |
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/************************************************************************** * * File name: collincomb.c * * Ron Rubinstein * Computer Science Department * Technion, Haifa 32000 Israel * ronrubin@cs * * Last Updated: 21.5.2009 * *************************************************************************/ #include "mex.h" /* Input Arguments */ #define A_IN prhs[0] #define ROWS_IN prhs[1] #define COLS_IN1 prhs[1] #define COLS_IN2 prhs[2] #define X_IN1 prhs[2] #define X_IN2 prhs[3] /* Output Arguments */ #define Y_OUT plhs[0] void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray*prhs[]) { double *A, *x, *y, *rows, *cols; mwSize m,n,m1,n1,m2,n2,rownum,colnum; mwIndex col_id,*row_ids,i,j; int rownumspecified=0; /* Check for proper number of arguments */ if (nrhs!=3 && nrhs!=4) { mexErrMsgTxt("Invalid number of arguments."); } else if (nlhs > 1) { mexErrMsgTxt("Too many output arguments."); } /* Check the input dimensions */ m = mxGetM(A_IN); n = mxGetN(A_IN); if (!mxIsDouble(A_IN) || mxIsComplex(A_IN) || mxGetNumberOfDimensions(A_IN)>2) { mexErrMsgTxt("COLLINCOMB requires that A be a double matrix."); } if (nrhs==3) { m1 = mxGetM(COLS_IN1); n1 = mxGetN(COLS_IN1); if (!mxIsDouble(COLS_IN1) || mxIsComplex(COLS_IN1) || (m1!=1 && n1!=1)) { mexErrMsgTxt("COLLINCOMB requires that COLS be an index vector of type double."); } colnum = (m1 > n1) ? m1 : n1; /* the number of columns in the linear combination */ m2 = mxGetM(X_IN1); n2 = mxGetN(X_IN1); if (!mxIsDouble(X_IN1) || mxIsComplex(X_IN1) || (m2!=1 && n2!=1)) { mexErrMsgTxt("COLLINCOMB requires that X be a double vector."); } if (m2!=colnum && n2!=colnum) { mexErrMsgTxt("The length of X does not match the number of columns in COLS."); } rows = 0; Y_OUT = mxCreateDoubleMatrix(m, 1, mxREAL); cols = mxGetPr(COLS_IN1); x = mxGetPr(X_IN1); } else { m1 = mxGetM(ROWS_IN); n1 = mxGetN(ROWS_IN); if (!mxIsDouble(ROWS_IN) || mxIsComplex(ROWS_IN) || (m1!=1 && n1!=1)) { mexErrMsgTxt("COLLINCOMB requires that ROWS be an index vector of type double."); } rownum = (m1 > n1) ? m1 : n1; /* the number of rows in the linear combination */ rownumspecified = 1; rows = mxGetPr(ROWS_IN); m1 = mxGetM(COLS_IN2); n1 = mxGetN(COLS_IN2); if (!mxIsDouble(COLS_IN2) || mxIsComplex(COLS_IN2) || (m1!=1 && n1!=1)) { mexErrMsgTxt("COLLINCOMB requires that COLS be an index vector of type double."); } colnum = (m1 > n1) ? m1 : n1; /* the number of columns in the linear combination */ m2 = mxGetM(X_IN2); n2 = mxGetN(X_IN2); if (!mxIsDouble(X_IN2) || mxIsComplex(X_IN2) || (m2!=1 && n2!=1)) { mexErrMsgTxt("COLLINCOMB requires that X be a double vector."); } if (m2!=colnum && n2!=colnum) { mexErrMsgTxt("The length of X does not match the number of columns in COLS."); } Y_OUT = mxCreateDoubleMatrix(rownum, 1, mxREAL); cols = mxGetPr(COLS_IN2); x = mxGetPr(X_IN2); } /* Assign pointers to the various parameters */ A = mxGetPr(A_IN); y = mxGetPr(Y_OUT); if (rownumspecified) { /* check row indices */ row_ids = (mwIndex*)mxMalloc(rownum*sizeof(mwIndex)); for (i=0; i<rownum; ++i) { row_ids[i] = (mwIndex)(rows[i]+0.1)-1; if (row_ids[i]<0 || row_ids[i]>=m) { mexErrMsgTxt("Row index in ROWS is out of range."); } } /* Do the actual computation */ for (i=0; i<colnum; ++i) { col_id = (mwIndex)(cols[i]+0.1)-1; if (col_id<0 || col_id>=n) { mexErrMsgTxt("Column index in COLS is out of range."); } for (j=0; j<rownum; ++j) { y[j] += A[m*col_id+row_ids[j]]*x[i]; } } mxFree(row_ids); } else { /* Do the actual computation */ for (i=0; i<colnum; ++i) { col_id = (mwIndex)(cols[i]+0.1)-1; if (col_id<0 || col_id>=n) { mexErrMsgTxt("Column index in COLS is out of range."); } for (j=0; j<m; ++j) { y[j] += A[m*col_id+j]*x[i]; } } } return; }