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/396844/2406965
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/393163/2488098
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/393163/2488105
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the eviden
www.eeworm.com/read/160391/5571349
m log_prob_node.m
function L = log_prob_node(CPD, self_ev, pev)
% LOG_PROB_NODE Compute prod_m log P(x(i,m)| x(pi_i,m), theta_i) for node i (gaussian)
% L = log_prob_node(CPD, self_ev, pev)
%
% self_ev(m) is the ev
www.eeworm.com/read/174371/9590376
m uwb_channel.m
%function y=UWB_channel(input,fc)
N=3; %Number of multipath
ns=1e-9;%nano-
M=1e6;%Mega-
fc=3939e6;%Central freq.
a=1;%Amplitude set unit here
[x,mn,mx,fs]=Gaussian_trend2(0.025*ns,fc,5);% carri
www.eeworm.com/read/133944/14017026
m testgk.m
clear all;
n1 = 200; n2 = 100;
n = n1+n2;
x = zeros(n,2);
% generate Gaussian samples of class 1
randn('seed',13); % set seed
x(1:n1,:) = ones(n1,1)*[3 3]+(ones(n1,1)*[1.7 0.5]).*randn(n
www.eeworm.com/read/372550/9503860
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/365161/9876541
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/467759/7000704
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops
www.eeworm.com/read/236873/7119043
m gaussmix.m
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,xv,l,m0,v0,w0)
%
% n data values, k mixtures, p parameters, l loops