代码搜索：eigenvector
找到约 273 项符合「eigenvector」的源代码
代码结果 273
www.eeworm.com/read/307390/13723463
asv discretisationeigenvectordata.asv
function Y = discretisationEigenVectorData(EigenVector)
%
% Timothee Cour, Stella Yu, Jianbo Shi, 2004
[n,k]=size(EigenVector);
[Maximum,J]=max(EigenVector');
Y=sparse(1:n,J',1,n,k);
www.eeworm.com/read/307390/13723467
m discretisationeigenvectordata.m
function Y = discretisationEigenVectorData(EigenVector)
% Y = discretisationEigenVectorData(EigenVector)
%
% discretizes previously rotated eigenvectors in discretisation
% Timothee Cour, Stella Y
www.eeworm.com/read/486201/6538057
asv discretisationeigenvectordata.asv
function Y = discretisationEigenVectorData(EigenVector)
%
% Timothee Cour, Stella Yu, Jianbo Shi, 2004
[n,k]=size(EigenVector);
[Maximum,J]=max(EigenVector');
Y=sparse(1:n,J',1,n,k);
www.eeworm.com/read/486201/6538060
m discretisationeigenvectordata.m
function Y = discretisationEigenVectorData(EigenVector)
% Y = discretisationEigenVectorData(EigenVector)
%
% discretizes previously rotated eigenvectors in discretisation
% Timothee Cour, Stella Y
www.eeworm.com/read/486202/6538115
m 5-12.m
%例程5－12 利用特征向量法估计功率谱
% e.g.5-12.m for example5-12;
% to test function peig;
clf;
clear all;
% Generate the signal plus white noise and show
N=1024; % number of sampling dat
www.eeworm.com/read/485392/6561017
m 5-12.m
%例程5－12 利用特征向量法估计功率谱
% e.g.5-12.m for example5-12;
% to test function peig;
clf;
clear all;
% Generate the signal plus white noise and show
N=1024; % number of sampling dat
www.eeworm.com/read/476406/6760858
f90 eigen.f90
program main
use IMSL
implicit none
real :: A(3,3) = (/ 1,0,0,&
0,2,0,&
0,0,3 /)
real :: eigenvalue(3)
real :: eigenvector(3,3)
integer i
eigenval
www.eeworm.com/read/409260/11338669
f90 eigen.f90
program main
use IMSL
implicit none
real :: A(3,3) = (/ 1,0,0,&
0,2,0,&
0,0,3 /)
real :: eigenvalue(3)
real :: eigenvector(3,3)
integer i
eigenval
www.eeworm.com/read/156528/11794908
asv nomax.asv
function [ys,W] = NoMax(x)
%最大信噪比盲源分离算法
%输入：混合信号x
%输出：分离信号ys，分离矩阵W
%preprocess
%tic;
x=baihua(x);
%%%%%%%moving average coefficient%%%%%%%%%%%%
p=80;
a=ones(1,p)/p;
x=x';
S=filter(a,1,x);
www.eeworm.com/read/156528/11794996
m test.m
function [y,PI]=test()
%preprocess
load wtwo;
A=randn(2);
x=A*s;
x=baihua(x);
%%%%%%%moving average coefficient%%%%%%%%%%%%
x=x';
for p=2:500
tic;
a=ones(1,p)/p;
S=filter(a,1,x);
%comp