代码搜索:gaussian
找到约 7,040 项符合「gaussian」的源代码
代码结果 7,040
www.eeworm.com/read/283083/9043791
dat gaussian.dat
1651 1 b00 1 2000
0x161
0xfe9f
0xf6f9
0x6cb
0x2e9
0xff26
0xfe08
0xfdac
0x4d9
0x4b
0xfd68
0x4f2
0x19a
0xffa8
0xfdac
0xfcce
0x1d4
0xd2
0x472
0x1fd
0xfdb5
0x2f
0x57f
0x2e2
0xfe46
www.eeworm.com/read/282379/9098028
h gaussian.h
#include "KMEANS.h"
//using namespace std;
class Gaussian
{
public:
double *devia;
double *mean;
double *a;
double **samplelist;
int NumPatterns;
int SizeVector;
int NumMixture
www.eeworm.com/read/379658/9190604
m gaussian.m
function u = gaussian(t,t0,FWHM,P0,m,C)
% This function computes a gaussian or supergaussian pulse with
% the specified parameters:
%
% sqrt(P0) * exp{ -[(1+iC)/2] * [(t-t0)/T]^(2m) }
%
www.eeworm.com/read/182514/9200849
c gaussian.c
#include
#define pi 3.1415
double
gaussian(double x)
{
double resu;
resu=-0.5*x*x;
resu=exp(resu);
resu=resu/sq
www.eeworm.com/read/182360/9206776
m gaussian.m
function g = gaussian(x,pos,wid)
% gaussian(x,pos,wid) = gaussian peak centered on pos, half-width=wid
% x may be scalar, vector, or matrix, pos and wid both scalar
% T. C. O'Haver, 1988
% Example:
www.eeworm.com/read/363518/9948895
h gaussian.h
#ifndef _GAUSSIAN_H
#define _GAUSSIAN_H
#include
#include
class Gaussian
{
public:
static void gaussian_filter(vil_image_view&, vil_image_view
www.eeworm.com/read/363518/9948898
cpp gaussian.cpp
/*******************************************************************************
*
* FILENAME: Gaussian.cpp
* DESCRIPTION: The Gaussian filter
*
* AUTHOR: Jun Liu (jun@cs.man.ac.uk)
*
www.eeworm.com/read/163930/10139484
c gaussian.c
#include "mex.h"
#include "matrix.h"
#include
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
const int *vettore_im; // vettore con component
www.eeworm.com/read/424538/10440187
m gaussian.m
function p=gaussian(x,m,C);
% p=gaussian(x,m,C);
%
% Evaluate the multi-variate density with mean vector m and covariance
% matrix C for the input vector x.
%
% p=gaussian(X,m,C);
%
% Vectorized ver
www.eeworm.com/read/352327/10563595
dat gaussian.dat
nan, nan
7.092731e-02, 4.413550e-02
4.795798e-03, 3.232689e-03
5.523320e-04, 2.627005e-04
7.699298e-05, 2.395964e-05
9.493095e-06, 2.148486e-06
5.540723e-07, 2.548578e-07
6.073356e-08, 2.726359e-08
9.