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/172354/9712598

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
www.eeworm.com/read/172354/9712741

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
www.eeworm.com/read/134896/13971263

m ivar.m

%IVAR Fast neighbourhood variance/kurtosis/skewness % % V = IVAR(IM, SE, OP) % V = IVAR(IM, SE, OP, EDGE) % % Computes the specified statistic over the pixel neighbourhood % which becomes the corresp
www.eeworm.com/read/235187/14082435

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/235187/14082455

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
www.eeworm.com/read/204456/15339308

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/203482/15357933

m ivar.m

%IVAR Fast neighbourhood variance/kurtosis/skewness % % V = IVAR(IM, SE, OP) % V = IVAR(IM, SE, OP, EDGE) % % Computes the specified statistic over the pixel neighbourhood % which becomes the corresp
www.eeworm.com/read/202824/15372018

m ivar.m

%IVAR Fast neighbourhood variance/kurtosis/skewness % % V = IVAR(IM, SE, OP) % V = IVAR(IM, SE, OP, EDGE) % % Computes the specified statistic over the pixel neighbourhood % which becomes the corresp
www.eeworm.com/read/201792/15396413

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/201792/15396414

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