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/283135/9041029
m io.m
function ort = io(x,imf)
% ort = IO(x,imf) computes the index of orthogonality
%
% inputs : - x : analyzed signal
% - imf : empirical mode decomposition
lx = size(imf,2);
n = size(imf,1
www.eeworm.com/read/183445/9158695
m afe.m
function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals)
% Automatic Feature Extraction by Nystr鰉 method
%
%
% >> features = AFE(X, kernel, sig2, Xt)
%
% Description
%
www.eeworm.com/read/378913/9213328
f90 chodcm.f90
SUBROUTINE chodcm(a,n,d,t)
REAL a(n,n),d(n),t(n)
INTEGER i,j
do i=1,n
sum=a(i,i)
do j=1,i-1
t(j)=a(j,i)
do k=1,j-1
t(j)=t(j)-t(k)*a(j,k)
end do
if (d(j)==0.) then
www.eeworm.com/read/378783/9216107
f90 chodcm.f90
SUBROUTINE chodcm(a,n,d,t)
REAL a(n,n),d(n),t(n)
INTEGER i,j
do i=1,n
sum=a(i,i)
do j=1,i-1
t(j)=a(j,i)
do k=1,j-1
t(j)=t(j)-t(k)*a(j,k)
end do
if (d(j)==0.) then
www.eeworm.com/read/374698/9388874
m afe.m
function [features,eigvec,eigvals] = AFE(Xs,kernel, kernel_pars,X,type,nb,eigvec,eigvals)
% Automatic Feature Extraction by Nystr鰉 method
%
%
% >> features = AFE(X, kernel, sig2, Xt)
%
% Description
%
www.eeworm.com/read/176119/9515585
f90 chodcm.f90
SUBROUTINE chodcm(a,n,d,t)
REAL a(n,n),d(n),t(n)
INTEGER i,j
do i=1,n
sum=a(i,i)
do j=1,i-1
t(j)=a(j,i)
do k=1,j-1
t(j)=t(j)-t(k)*a(j,k)
end do
if (d(j)==0.) then
www.eeworm.com/read/167784/9952745
readme
wav2 function implements the tree structured wavelet transform of the
input matrix, up to the given level of decomposition. Wav2 uses another
function called wav1, which takes the well known wavelet
www.eeworm.com/read/363367/9957445
readme
Laplacian Pyramid Toolbox (version 1.0, June 2004)
http://www.ifp.uiuc.edu/~minhdo/software/
This toolbox contains Matlab files that implement the Laplacian pyramid (LP)
decomposition and the new re
www.eeworm.com/read/164630/10099543
m io.m
function ort = io(x,imf)
% ort = IO(x,imf) computes the index of orthogonality
%
% inputs : - x : analyzed signal
% - imf : empirical mode decomposition
lx = size(imf,2);
n = size(imf,1
www.eeworm.com/read/359900/10116838
m wavefilter.m
function [varargout] = wavefilter(wname, type)
%WAVEFILTER Create wavelet decomposition and reconstruction filters.
% [VARARGOUT] = WAVEFILTER(WNAME, TYPE) returns the decomposition
% and/or re