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/265721/11255591
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/134895/13971383
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/134895/13971550
txt gaussmix.txt
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/390571/8458957
m demo_plot2_pf_and_kf.m
clear;
%%%保存的数据格式为: save filename N sita fe yx yy
%细线，KF得到的非高斯条件下结果
load data_KF_Non_Gaussian.mat
sita1=sita;
fe1=fe;
%粗线，PF得到的非高斯条件下结果
load data_PF_Non_Gauss
www.eeworm.com/read/163479/10157914
m gp.m
clc
clear
close all
a0=imread('D:\Mary.bmp');
subplot(221);
imshow(a0);
title('原图像');
a=imnoise(a0,'gaussian',0,0.005);
a0=double(a0);
b=zeros(1,256);
c=[b;a0;b];
%给图像矩阵数据的最左和最右加入两列0
d=zer
www.eeworm.com/read/163479/10157924
m glv.m
clc
clear
close all
a0=imread('D:\Mary.bmp');
subplot(221);
imshow(a0);
title('原图像');
a=imnoise(a0,'gaussian',0,0.005);
a0=double(a0);
b=zeros(1,256);
c=[b;a0;b];
%给图像矩阵数据的最左和最右加入两列0
d=zer
www.eeworm.com/read/458010/7314165
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/448350/7534389
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/440750/7682148
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/433305/7942270
m cl2.m
flt='cl';fltap='clap'; %使用的多小波和预滤波器
deimg='c:\denoise\cameraman512.bmp'; %要处理的图像
img=imread(deimg); %从c:\noise目录下读入图像
%cc=0.0384;img1=imnoise(img,'gaussian',0,cc);
%在某些论文中,都说加入了sigma=??的噪声