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/248062/12603944
asv mimo1.asv
clear all;
close all;
% %Gaussian
Roul=zeros(3,9);RR=zeros(1,9);iters=60;
for num=1:iters
% N=[80 320 800 3200];
N=[8 80 100];
d=0:8;
lamda=3*1e8/(9*1e8);
m=10*pi/180;
www.eeworm.com/read/248062/12603948
m mimo1.m
clear all;
close all;
% %Gaussian
Roul=zeros(3,9);RR=zeros(1,9);iters=60;
for num=1:iters
% N=[80 320 800 3200];
N=[8 80 100];
d=0:8;
lamda=3*1e8/(9*1e8);
m=10*pi/180;
www.eeworm.com/read/235144/14083858
asv mimo1.asv
clear all;
close all;
% %Gaussian
Roul=zeros(3,9);RR=zeros(1,9);iters=60;
for num=1:iters
% N=[80 320 800 3200];
N=[8 80 100];
d=0:8;
lamda=3*1e8/(9*1e8);
m=10*pi/180;
www.eeworm.com/read/235144/14083867
m mimo1.m
clear all;
close all;
% %Gaussian
Roul=zeros(3,9);RR=zeros(1,9);iters=60;
for num=1:iters
% N=[80 320 800 3200];
N=[8 80 100];
d=0:8;
lamda=3*1e8/(9*1e8);
m=10*pi/180;
www.eeworm.com/read/188970/8498628
m ctart.m
%--ART算法迭代格式--good
%function F=CTART(p,W,N,I,J)
tic
%p = IMNOISE(p,'gaussian',0,0.000001);%--SNR 30dB
%p = IMNOISE(p,'speckle',0.03); %--SNR 20dB
%p=p.*(1+5./100.*randn(size(p)));
P=p(1:I);
www.eeworm.com/read/364970/9885642
m guassianderivativesesd.m
function cp0702_gaussian_derivatives_ESD(alpha)
alpha=0.714e-9;
smp=1024;
Tmin=-4e-9;
Tmax=4e-9;
N=smp;
dt=(Tmax-Tmin)/N;
fs=1/dt;
df=1/(N*dt);
t=linspace(Tmin,Tmax,smp);
F=figure(1);
set(F
www.eeworm.com/read/448535/7531579
m hmmtest2.m
% Test data for the HMM
% Copyright 1999 by Todd K. Moon
HMM.A = [0 1/4 .2; 1 1/4 .4; 0 1/2 .4];
HMM.pi = [1;0;0];
HMM.final = [0 0 1];
HMM.f{1} = 2; % Gaussian distribution
HMM.f{2,1} =
www.eeworm.com/read/435133/7796948
m thankgod1wlov.m
clc;
close all;
clear all;
global zp;
q=imread('cameraman.tif');
[r g b]=size(q);
if (b==3)
q=rgb2gray(q);
end
%n1=q;
n1=imnoise(q,'gaussian',0,.02);
n1=imresize(n1,[256 256]);
subplot
www.eeworm.com/read/305287/13775777
m wspm.m
%基于小波收缩与非线性扩散的混合图像去噪算法
%低频用TV扩散,,高频用软阈值收缩
function A=WSTV(lena)
noised=lena;
H=fspecial('gaussian',3,0.4);
filter=imfilter(noised,H);
[row,col]=size(noised);
nimage=zeros(row,col);
k
www.eeworm.com/read/140847/5779327
m log_marg_prob_node.m
function L = log_marg_prob_node(CPD, self_ev, pev)
% LOG_MARG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (linear_gaussian)
% L = log_marg_prob_node(CPD, self_ev, pev)
%
% This differ