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/157074/11741355
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/156458/11801752
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/344551/11872937
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/344551/11873326
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/256398/12001833
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/256398/12001840
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/342322/12028135
m wavecompression.m
% Wavelet image compression - RGB images
clear all;
close all;
% Reading an image file
im = input('Enter a image');
X=imread(im);
% inputting the decomposition level and name of the wavelet
n=
www.eeworm.com/read/255966/12043571
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/152083/12142385
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/339987/12188863
m frit.m
function [r, l, m] = frit(a, n, wname)
% FRIT Finite ridgelet transform
% [r, l, m] = frit(a, n, wname)
%
% Input:
% a: image matrix of size P by P, P is a prime number
% n: number of wavelet de