代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/201151/7149356
m my_bootstrap3.m
function [samples,q] = my_bootstrap3(F,actualx,y,R,Q,initx,initV,numSamples) % output samples and q are 500-50 Matrix.
% PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR,
%
www.eeworm.com/read/464234/7167286
m awgn.m
%*************************************************************************************
% This function pertains to the addition of AWGN with mean zero and
% parameter 'variance' to
www.eeworm.com/read/462044/7211684
asv test.asv
for i=1:1:40 ;
n(i)=100+10*(i-1);
Esp(i)=mean(polynome(n(i)));
Var(i)=cov(polynome(n(i)));
end
hold on
plot(n,Esp,'blue');
plot(n,Var,'red');
grid on;
xlabel 'Nombre de points'
www.eeworm.com/read/462044/7211686
m test.m
for i=1:400 ;
n(i)=1000+10*(i-1);
Esp(i)=mean(polynome(n(i)));
Var(i)=cov(polynome(n(i)));
end
plot(n,Esp,'blue');
plot(n,Var,'red');
grid on;
xlabel 'Nombre de points'
ylabel
www.eeworm.com/read/460015/7259105
cpp single-gaussian model for the algorithm to do the moving target detection.cpp
/**************************************************
* 背景建模，运动物体检测
*
**************************************************/
#ifdef _CH_
#pragma package
#endif
#ifndef _EiC
#include
www.eeworm.com/read/450608/7480435
m klldc.m
%KLLDC Linear classifier built on the KL expansion of the common covariance matrix
%
% W = KLLDC(A,N)
% W = KLLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of significant eigenvectors
% AL
www.eeworm.com/read/449504/7501966
m bino_d.m
% PURPOSE: demo of binomial distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% USA
www.eeworm.com/read/449504/7502006
m pois_d.m
% PURPOSE: demo of poisson distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% USAG
www.eeworm.com/read/449504/7502027
m hypg_d.m
% PURPOSE: demo of Hypergeometric distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% US
www.eeworm.com/read/449504/7502031
m tdis_d.m
% PURPOSE: demo of Student t-distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% US