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/168677/9902191
m rxx_gaussian.m
function result = Rxx_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
% result = Rxx_gaussian(d_norm,phi_0_deg,sigma_deg,delta_phi_deg)
%
% Computes the correlation of the real and imaginary par
www.eeworm.com/read/165573/10057161
m gaussian_pulse.m
% function p=Gaussian_pulse(dt,f_c,len)
%
% The function creates a Gaussian pulse centered at frequency fc
% It assumes a sample frequency of fs = 1/dt
%
% the pulse vector will be of length len;
www.eeworm.com/read/164422/10108693
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, use_log)
%
% p(i) = N(X(:,i), m, C) if use_log = 0 (default)
% p(i)
www.eeworm.com/read/164422/10108698
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 = CX, V
www.eeworm.com/read/164422/10108738
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 distri
www.eeworm.com/read/164422/10108780
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/163774/10146010
m gaussian_model.m
www.eeworm.com/read/425546/10348654
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/425546/10348670
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/424743/10420372
m gaussian_mutate.m
function ind = gaussian_mutate( ind, prob, domain)
%GAUSSIAN_MUTATE Summary of this function goes here
% Detailed explanation goes here
if isstruct(ind)
x = ind.parameter;
else
x = ind;
en