代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/142092/12963086
m dss.m
function z=dss(nt,dt)
% z=dss(nt,dt):
%
% Function to analyze the degree of stationarity of data nt(n,m) by
% calculating the variance for each n, where n specifies the number
% of f
www.eeworm.com/read/305575/13765560
m pdfprops.m
function[mu,sigma,skew,kurt]=pdfprops(x,fx)
%PDFPROPS Mean and variance associated with a probability distribution.
%
% [MU,SIGMA]=PDFPROPS(X,FX), given a probability distribution
% function FX o
www.eeworm.com/read/494076/6387773
m orthexpanalysis2.m
function OrthExpAnalysis2
% 正交试验的极差分析Variance Analysis of Orthogonal experiment
%
% Author: HUANG Huajiang
% Copyright 2003 UNILAB Research Center,
% East China University of Science and T
www.eeworm.com/read/494076/6387774
m orthexpanalysis1.m
function OrthExpAnalysis1
% 正交试验的极差分析Variance Analysis of Orthogonal experiment
%
% Author: HUANG Huajiang
% Copyright 2003 UNILAB Research Center,
% East China University of Science and T
www.eeworm.com/read/493294/6400265
m kwhiten.m
%KWHITEN Whiten the data in kernel space.
%
% W = kwhiten(A,DIM,KTYPE,PAR1)
%
% Apply a kernel PCA to dataset A and retain DIM dimensions, or a
% fraction DIM of the total variance. The data A
www.eeworm.com/read/492400/6422268
m kwhiten.m
%KWHITEN Whiten the data in kernel space.
%
% W = kwhiten(A,DIM,KTYPE,PAR1)
%
% Apply a kernel PCA to dataset A and retain DIM dimensions, or a
% fraction DIM of the total variance. The data A
www.eeworm.com/read/479055/6698464
m decorrel.m
function [Q,Z,L,D,z] = decorrel (Q,a);
%DECORREL: Decorrelate a (co)variance matrix of ambiguities
%
% This routine creates a decorrelated Q-matrix, by finding the
% Z-matrix and performing the corres
www.eeworm.com/read/479055/6698465
m ldldecom.m
function [L,D] = ldldecom(Q)
%LDLDECOM: Find LtDL-decompostion of Q-matrix
%
% This routine finds the LtDL decomposition of a given variance/
% covariance matrix.
%
% Input arguments:
% Q: Symmetri
www.eeworm.com/read/479067/6698845
m decorrel.m
function [Q,Z,L,D,z] = decorrel (Q,a);
%DECORREL: Decorrelate a (co)variance matrix of ambiguities
%
% This routine creates a decorrelated Q-matrix, by finding the
% Z-matrix and performing the co
www.eeworm.com/read/479067/6698846
m ldldecom.m
function [L,D] = ldldecom(Q)
%LDLDECOM: Find LtDL-decompostion of Q-matrix
%
% This routine finds the LtDL decomposition of a given variance/
% covariance matrix.
%
% Input arguments:
% Q: S