代码搜索：decomposition
找到约 1,689 项符合「decomposition」的源代码
代码结果 1,689
www.eeworm.com/read/214301/15107073
m emd_online.m
function [imf,ort,nbit] = emd_online(x,t,stop,nbpresift,tst,tst2)
%EMD_ONLINE (On Line Empirical Mode Decomposition) computes on-line EMD
%
% IMPORTANT: EMD_ONLINE does not truly apply EMD on-line b
www.eeworm.com/read/211845/15172392
m mains3c2.m
% mainS3C2, P.Comon, JUL 2, 1998
% Identification d'un melange de 3 sources recues sur 2 capteurs.
% On utilise d'abord le tenseur non ciculaire, pour trouver la
% decomposition, a une variete pres
www.eeworm.com/read/13911/286527
m wavepca.m
close all;
close all;
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
M=60;
N=3;
for i=1:1:20
for j=1:1:3
%filename = sprintf('D:\\MATLAB702\\work\\K-L\\yalef
www.eeworm.com/read/490313/1205715
m ex031200.m
n = -5:10; x = sin(pi*n/2);
k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi
X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x
% signal decomposition
[xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/209919/4955948
m ex031200.m
n = -5:10; x = sin(pi*n/2);
k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi
X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x
% signal decomposition
[xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/312371/3672584
m ex031200.m
n = -5:10; x = sin(pi*n/2);
k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi
X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x
% signal decomposition
[xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/299916/3849280
m ex031200.m
n = -5:10; x = sin(pi*n/2);
k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi
X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x
% signal decomposition
[xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/299916/3849466
m ex031200.m
n = -5:10; x = sin(pi*n/2);
k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi
X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x
% signal decomposition
[xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/273525/4205113
hlp ca_statistics.hlp
{smcl}
{* 08feb2005}{...}
Statistics reported by {cmd:ca} and {cmd:camat}
{hline}
{title:Decomposition of inertia}
{p2colset 5 26 28 2}{...}
{p2col:statistic}description{p_end}
{p2line}
{p
www.eeworm.com/read/372575/2771922
m qrd_lsl.m
function [Wo, ee, gamma] = qrd_lsl(u, d, M, verbose, lambda, delta)
% function [Wo, ee, gamma] = qrd_lsl(u, d, M, verbose, lambda, delta)
%
% qrd_lsl.m - apply the standard QR-decomposition based LSL