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/389321/8533477
m pprec.m
function x = pprec(p0, p1, type)
% PPREC Parallelogram Polyphase Reconstruction
%
% x = pprec(p0, p1, type)
%
% Input:
% p0, p1: two parallelogram polyphase components of the image
% type: o
www.eeworm.com/read/389321/8533558
m backsamp.m
function y = backsamp(y)
% BACKSAMP Backsampling the subband images of the directional filter bank
%
% y = backsamp(y)
%
% Input and output are cell vector of dyadic length
%
% This functi
www.eeworm.com/read/289487/8548660
m testwaveletkernel.m
%
% this is a script for testing and looking into wavelet kernel
% and different decompositions.
%
%
clear all
close all
% this is the data
N=50;
x=linspace(0,1,N)';
% these are the
www.eeworm.com/read/289487/8548662
m createmultilevelkernel.m
function [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
% USAGE
%
% [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
%
% This function creates multiscale kernels K an
www.eeworm.com/read/431754/8655876
cpp chodcm.cpp
void chodcm(double a[], int n, double d[], double t[])
{
int i,j,k;
double sum;
for (i = 1; i
www.eeworm.com/read/428451/8867237
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/428269/8880427
m testwaveletkernel.m
%
% this is a script for testing and looking into wavelet kernel
% and different decompositions.
%
%
clear all
close all
% this is the data
N=50;
x=linspace(0,1,N)';
% these are the
www.eeworm.com/read/428269/8880434
m createmultilevelkernel.m
function [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
% USAGE
%
% [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level)
%
% This function creates multiscale kernels K an
www.eeworm.com/read/427586/8932027
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/283135/9040885
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