科沃斯地宝好不好DE55和DE35哪个好
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时间：2018-03-19 20:39
>> misaBF_updown.c
misaBF_updown.c ( File view )
/*-----------------------------------------------------------------------------
* misaBF_updown.c:
* Author: Jayesh Kumar Gupta, 2013.
* Contact: Jayesh Kumar Gupta http://home.iitk.ac.in/~jayeshkg
Indian Institute of Technology, Kanpur, India
*---------------------------------------------------------------------------*/
#include &math.h&
#include &string.h&
#include &mex.h&
void mexFunction( int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[]){
if (nrhs!=2){
mexErrMsgTxt(&Wrong number of inputs&);
mwSize nrow = mxGetM(prhs[0]);
mwSize ncol = mxGetN(prhs[0]);
threshold = mxGetPr(prhs[1]);
double *data, mean, sd, absmax, eff_thr_up, eff_thr_down,
plhs[0] = mxCreateDoubleMatrix(nrow, ncol, mxREAL);
data = mxGetPr(prhs[0]);
for (i=0; i& i++){
thr = threshold[i];
/* column dependent thresholds */
mean=0.0; sd=0.0; absmax=0.0;
for (j=0; j& j++){
sd += j*pow(*data-mean, 2)/(j+1);
mean += (*data-mean)/(j+1);
sd = sqrt(sd/(nrow-1));
eff_thr_up = mean + thr*
eff_thr_down = mean - thr*
/* threshold + search for maximum */
for (j=0; j& j++){
if (*data &= eff_thr_up && *data &= eff_thr_down){
*data = 0;
tmp = fabs(*data);
if (tmp & absmax) {
/* norm(1) */
if (absmax != 0){
for (j=0; j& j++){
/* mxSetPr(plhs[0], result); */
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misaBF_updown.c ( File view )
/*-----------------------------------------------------------------------------
* misaBF_updown.c:
* Author: Jayesh Kumar Gupta, 2013.
* Contact: Jayesh Kumar Gupta http://home.iitk.ac.in/~jayeshkg
Indian Institute of Technology, Kanpur, India
*---------------------------------------------------------------------------*/
#include &math.h&
#include &string.h&
#include &mex.h&
void mexFunction( int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[]){
if (nrhs!=2){
mexErrMsgTxt(&Wrong number of inputs&);
mwSize nrow = mxGetM(prhs[0]);
mwSize ncol = mxGetN(prhs[0]);
threshold = mxGetPr(prhs[1]);
double *data, mean, sd, absmax, eff_thr_up, eff_thr_down,
plhs[0] = mxCreateDoubleMatrix(nrow, ncol, mxREAL);
data = mxGetPr(prhs[0]);
for (i=0; i& i++){
thr = threshold[i];
/* column dependent thresholds */
mean=0.0; sd=0.0; absmax=0.0;
for (j=0; j& j++){
sd += j*pow(*data-mean, 2)/(j+1);
mean += (*data-mean)/(j+1);
sd = sqrt(sd/(nrow-1));
eff_thr_up = mean + thr*
eff_thr_down = mean - thr*
/* threshold + search for maximum */
for (j=0; j& j++){
if (*data &= eff_thr_up && *data &= eff_thr_down){
*data = 0;
tmp = fabs(*data);
if (tmp & absmax) {
/* norm(1) */
if (absmax != 0){
for (j=0; j& j++){
/* mxSetPr(plhs[0], result); */
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.gitignore3.00 B 07:05
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