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/380059/9167116
m makeparitychk.m
function [c, newH] = makeParityChk(dSource, H, strategy)
% Generate parity check vector bases on LDPC matrix H using sparse LU decomposition
%产生奇偶检验向量，基于使用稀疏LU分解的H矩阵的LDPC
% dSource : Binary source
www.eeworm.com/read/304962/3782193
h jama_lu.h
#ifndef CGAL_JAMA_LU_H
#define CGAL_JAMA_LU_H
#include
#include "tnt.h"
#include
//for min(), max() below
CGAL_JAMA_BEGIN_NAMESPACE
/** LU Decomposition.
www.eeworm.com/read/367160/9778671
in svd.in
SVD: Data file for testing Singular Value Decomposition routines
19 Number of values of M
0 0 0 1 1 1 2 2 3 3 3 10 10 16 16 30 30 40 40 Values of M
0 1 3
www.eeworm.com/read/288304/8643881
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
www.eeworm.com/read/426833/8996517
m ghmap2.m
function b=ghmap2(a)
%GHMAP2 Single-level discrete 2-D multi-wavelet transform.
% GHM performs a single-level 2-D multiwavelet decomposition
% using GHM multiwavelet with four multi-filters
%
www.eeworm.com/read/380178/9158582
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/361297/10058866
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/163777/10145883
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/426106/10287124
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
www.eeworm.com/read/255967/7098247
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