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/140697/13067085
m alg062.m
% GAUSSIAN ELIMINATION WITH PARTIAL PIVOTING ALGORITHM 6.2
%
% To solve the n by n linear system
%
% E1: A(1,1) X(1) + A(1,2) X(2) +...+ A(1,n) X(n) = A(1,n+1)
% E2: A(2,1) X(1) + A(2,2) X(2) +
www.eeworm.com/read/305889/13757214
m example9_5.m
I = imread('rice.tif');
BW1 = edge(I,'sobel');
BW2 = edge(I,'roberts');
BW3 = edge(I,'prewitt');
BW4 = edge(I,'log');
BW5 = edge(I,'canny');
h=fspecial(‘gaussian’,5);
BW6 = edge(I,'zerocross',[
www.eeworm.com/read/140847/5779313
m cpd_to_lambda_msg.m
function lam_msg = CPD_to_lambda_msg(CPD, msg_type, n, ps, msg, p)
% CPD_TO_LAMBDA_MSG Compute lambda message (gaussian)
% lam_msg = compute_lambda_msg(CPD, msg_type, n, ps, msg, p)
% Pearl p183 eq
www.eeworm.com/read/133943/5897497
m cpd_to_lambda_msg.m
function lam_msg = CPD_to_lambda_msg(CPD, msg_type, n, ps, msg, p)
% CPD_TO_LAMBDA_MSG Compute lambda message (gaussian)
% lam_msg = compute_lambda_msg(CPD, msg_type, n, ps, msg, p)
% Pearl p183 eq
www.eeworm.com/read/494182/6379938
m pinyuzengqiang.m
clc
%[I,map]=imread('cameraman.tif');
[I,map]=imread('wen.jpg');
%I=rgb2gray(I1);
%[I,map]=imread('37_3.bmp');
noisy=imnoise(I,'gaussian',0.01);
imshow(noisy,map);
[M N]=size(I);
F=fft2(doub
www.eeworm.com/read/492717/6407927
m example9_5.m
I = imread('rice.tif');
BW1 = edge(I,'sobel');
BW2 = edge(I,'roberts');
BW3 = edge(I,'prewitt');
BW4 = edge(I,'log');
BW5 = edge(I,'canny');
h=fspecial(‘gaussian’,5);
BW6 = edge(I,'zerocross',[
www.eeworm.com/read/485544/6552801
m mlpprior.m
function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2)
%MLPPRIOR Create Gaussian prior for mlp.
%
% Description
% PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a
% dat
www.eeworm.com/read/157533/11694485
m example9_5.m
I = imread('rice.tif');
BW1 = edge(I,'sobel');
BW2 = edge(I,'roberts');
BW3 = edge(I,'prewitt');
BW4 = edge(I,'log');
BW5 = edge(I,'canny');
h=fspecial(‘gaussian’,5);
BW6 = edge(I,'zerocross',[
www.eeworm.com/read/257997/11896972
asv ws2.asv
p=0.1;N=500000;
u=randn(1,N);c=sqrt(p);
u=u*c;power_u=var(u);
figure(1)
subplot(221)
plot(u(1:100));grid;
ylabel('u(n)');
title('the Gaussian white noise');
n=200;
step=4*pi/n;
t=-3*pi:ste
www.eeworm.com/read/257997/11896974
m ws2.m
p=0.1;N=500000;
u=randn(1,N);c=sqrt(p);
u=u*c;power_u=var(u);
figure(1)
subplot(221)
plot(u(1:100));grid;
ylabel('u(n)');
title('the Gaussian white noise');
n=200;
step=4*pi/n;
t=-3*pi:ste