代码搜索：Multivariate Analysis

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txt lpcauto.txt

function [ar,e,k]=lpcauto(s,p,t) %LPCAUTO performs autocorrelation LPC analysis [AR,E,K]=(S,P,T) % Inputs: % s(ns) is the input signal % p is the order (default: 12) % t(nf,3)
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m lpcauto.m

function [ar,e,k]=lpcauto(s,p,t) %LPCAUTO performs autocorrelation LPC analysis [AR,E,K]=(S,P,T) % Inputs: % s(ns) is the input signal % p is the order (default: 12) % t(nf,3)
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m readme.m

% ADSP Toolbox: Version 2.0 % For use with "Analog and Digital Signal Processing", 2nd Ed. % Published by PWS Publishing Co. % % Ashok Ambardar, EE Dept. MTU, Houghton, MI 49931, USA % http://
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txt readmeraf2.txt

RAFISHER2CDA Canonical Discriminant Analysis. While RAFisher1 is a procedure that produces very different functions for classification that are also called linear discriminant analysis, RAFisher2cda
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1 postmort.1

.TH POSTMORT 1 .SH NAME postmort \- perform post-mortem on PC Minix core files .SH SYNOPSIS \fBpostmort\fR [\fB\-dpt\fR] \fB\-c \fIcorefile \fB\-s \fIsymbfile\fR .br .de FL .TP \\fB\\$1\\fR \\$2 .. .d
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cpp hardmembupdate.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module HardMembUpdate Hist
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cpp dotdistance.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module DotDistance History
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cpp statanalysis.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module StatAnalysis Histor
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cpp readddlstream.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module ReadDDLStream Histo
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cpp storeanalysis.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module StoreAnalysis Histo
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