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/449771/7496832

m orthexpanalysis3.m

function OrthExpAnalysis3 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
www.eeworm.com/read/448935/7521678

m wt.m

function varargout=wt(d,varargin) %% Continous Wavelet Transform % Creates a figure of wavelet power in units of % normalized variance. % % USAGE: [wave,period,scale,coi,sig95]=wt(d[,settings])
www.eeworm.com/read/441245/7673403

m featselv.m

%FEATSELV Varying feature selection % % W = FEATSELV(A) % W = A*FEATSELV % % Selects all features with a non-zero variance. % Classifiers can be trained like A*(FEATSELV*LDC([],1E-3)) to make
www.eeworm.com/read/199851/7818685

m orthexpanalysis4.m

function OrthExpAnalysis4 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
www.eeworm.com/read/199851/7818693

m orthexpanalysis3.m

function OrthExpAnalysis3 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
www.eeworm.com/read/197108/8029192

m orthexpanalysis4.m

function OrthExpAnalysis4 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
www.eeworm.com/read/197108/8029201

m orthexpanalysis3.m

function OrthExpAnalysis3 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
www.eeworm.com/read/397097/8069202

m pca_dd.m

%PCA_DD Principal Component data description % % W = pca_dd(A,fracrej,n) % % Traininig of a PCA, with n features (or explaining a fraction n of % the variance). % Default: n=0.9 % Copyright: D.
www.eeworm.com/read/331444/12827875

m kurt2.m

% K = KURT2(MTX,MEAN,VAR) % % Sample kurtosis (fourth moment divided by squared variance) % of a matrix. Kurtosis of a Gaussian distribution is 3. % MEAN (optional) and VAR (optional) make the comp
www.eeworm.com/read/132359/5917871

m relvar.m

function [retval] = relvar(d1, d2); % RELVAR returns the relative residual variance between measured and simulated data % % rv = relvar(measured, simulated) % Copyright (C) 1999, Robert Oostenveld