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/384950/2595982
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/358021/3007368
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/393518/8281135
m gaussmixp.m
function [m,v,w,g,f,gg,pp,mi,pm]=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 p
www.eeworm.com/read/133469/14042330
m stackmed.m
% 读取原图像
a0=imread('bridge.bmp');
figure(1)
imshow(a0);
%加入高斯噪声
a1=imnoise(a0,'gaussian',0,0.5);
figure(2)
imshow(a1)
%直接进行中值滤波
a2=medfit2(a1);
figure(3)
imshow(a2)
c0=zeros(256);
c1
www.eeworm.com/read/133469/14042340
m stack.m
% 读取原图像
a0=imread('bridge.bmp');
figure(1)
imshow(a0);
%加入高斯噪声
a1=imnoise(a0,'gaussian',0,0.5);
figure(2)
imshow(a1)
%直接进行中值滤波
a2=medfit2(a1);
figure(3)
imshow(a2)
c0=zeros(256);
c1
www.eeworm.com/read/433312/7942043
m cl3.m
flt='cl3';fltap='cl3ap'; %使用的多小波和预滤波器
deimg='c:\denoise\peppers512.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
www.eeworm.com/read/306347/13746064
m phaseunwrap11.m
clear all
clc
h=fspecial('gaussian',9,1);
%度如图 并求平均值
I1=imread('a01.bmp','bmp');
I1=filter2(h,double(I1(:,:,1)));
I2=imread('a02.bmp','bmp');
I2=filter2(h,double(I2(:,:,1)));
I3=imread('a03.bm
www.eeworm.com/read/226983/14445228
m temp.m
f=linspace(0,25e8,2048);
f1=linspace(60e8,85e8,2048);
sigma=1.8e-10;
n=2;
Amax=10^-7.13;
PSD=cp0602_Gaussian_PSD_nth(f,n,sigma,Amax);
[f_th_dB,PSD_th_dB]=cp0602_thr_dB_vectors(f1,PSD,-3);
[dist
www.eeworm.com/read/225979/14507935
m laolu___step2lms.m
clear all;
clc;
L=1000;
x=zeros(1,L);
image=zeros(1,L);
v=imnoise(image,'gaussian',0,0.8);
a1=1.558;a2=-0.81;
%以下为2阶LMS横向滤波器参数;
w1=zeros(1,L);
w2=zeros(1,L);
u=0.005;
%以下为2阶LMS格型滤波器参数;
www.eeworm.com/read/15711/536122
m p0307.m
[I,map]=imread('eight.tif');
figure,imshow(I);title('original')
J1=imnoise(I,'gaussian',0,0.02); % 受高斯噪声干扰，结果如图3-17(b)所示
M4=[0 1 0; 1 0 1; 0 1 0];
M4=M4/4; % 4邻域平均滤波
I_filter1=fil