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