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/349646/10809097
m gaussian_sample.m
function x = gsamp(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional Gaussian
www.eeworm.com/read/349646/10809213
m marginalize_gaussian.m
function [muX, SXX] = marginalize_gaussian(mu, Sigma, X, Y, ns)
% MARGINALIZE_GAUSSIAN Compute Pr(X) from Pr(X,Y) where X and Y are jointly Gaussian.
% [muX, SXX] = marginalize_gaussian(mu, Sigma, X
www.eeworm.com/read/271545/10989972
m sample_gaussian.m
function x = sample_gaussian(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional
www.eeworm.com/read/469416/6976074
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/469416/6976079
m sample_gaussian.m
function M = sample_gaussian(mu, Sigma, N)
% SAMPLE_GAUSSIAN Draw N random row vectors from a Gaussian distribution
% samples = sample_gaussian(mean, cov, N)
if nargin==2
N = 1;
end
% If Y
www.eeworm.com/read/469416/6976100
m gaussian_sample.m
function x = gsamp(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional Gaussian
www.eeworm.com/read/469416/6976131
m marginalize_gaussian.m
function [muX, SXX] = marginalize_gaussian(mu, Sigma, X, Y, ns)
% MARGINALIZE_GAUSSIAN Compute Pr(X) from Pr(X,Y) where X and Y are jointly Gaussian.
% [muX, SXX] = marginalize_gaussian(mu, Sigma, X
www.eeworm.com/read/248723/7069764
m gaussian1.m
clc
clear all
mypath = 'D:\MATLAB7\work';
cd(mypath);
I = imread('coin.tif');
J = imnoise(I,'gaussian',0,0.01);
subplot(2,2,1);
imshow(I);
title ԭͼ
subplot(2,2,2);
imshow(J);
title salt
www.eeworm.com/read/201151/7149352
m sample_gaussian.m
function x = sample_gaussian(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional
www.eeworm.com/read/463619/7177407
m do_gaussian.m
function L = do_gaussian(I,sigman,O,S,omin,smin,smax,sigma0)
if(nargin