代码搜索:Multivariate Analysis

找到约 10,000 项符合「Multivariate Analysis」的源代码

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m toon0112.m

% toon0112 -- Interpolating Wavelets % % Wavelet analysis begins by choosing a specific family of wavelets % to work with. % % The family is specified by a father and a mother wavelet, and
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m toon0114.m

% toon0114 -- Meyer Wavelets % % Wavelet analysis begins by choosing a specific family of wavelets % to work with. % % The family is specified by a father and a mother wavelet, and % the
www.eeworm.com/read/292144/3956743

erl hipe_icode_fp.erl

%%%------------------------------------------------------------------- %%% File : hipe_icode_fp.erl %%% Author : Tobias Lindahl %%% Description : One pass analysis to find float
www.eeworm.com/read/278206/4146622

m cckt1.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % cckt1.m - Analysis of C-shaped magnetic circuit. % Calculates coil current for specified % value of flux & plots Fl
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java synonymengine.java

package lia.analysis.synonym; import java.io.IOException; public interface SynonymEngine { String[] getSynonyms(String s) throws IOException; }
www.eeworm.com/read/393800/8262853

m mfa.m

function [eigvector, eigvalue, elapse] = MFA(gnd, options, data) % MFA: Marginal Fisher Analysis % % [eigvector, eigvalue] = MFA(gnd, options, data) % % Input: %
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txt readme.txt

INTRODUCTION This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user t
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txt readme.txt

TSA (Time Series Analysis) Toolbox 3.33 ======================================= The TSA toolbox is useful for analysing Time Series. The methods are based on stochastic concepts and maximum entropy
www.eeworm.com/read/147789/12520104

db perftask.ans.db

RunCounter DragRatio LoadedWeight WeightOfFuel AreaOfWing AircraftRange StallSpeed Objective Penalty ObjectiveAndPenalty Phase Feasibility Rules Control Approach Analysis Internal Technique TechniqueD
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m runicatest.m

% runicatest() - Perform Independent Component Analysis (ICA) decomposition % using natural-gradient infomax - the infomax ICA algorithm of % Bell & Sejnowski (1995) with the na