代码搜索:Multivariate Analysis

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smsg updncnt.map.smsg

Info: ******************************************************************* Info: Running Quartus II Analysis & Synthesis Info: Version 6.1 Build 201 11/27/2006 SJ Full Version Info: Processi
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tex applications.tex

\chapter{Applications} In this paper we introduced Discrete Hybrid Automata as a general modeling framework for obtaining hybrid models oriented to the solution of analysis and synthesis problems. The
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smsg sramtest.map.smsg

Info: ******************************************************************* Info: Running Quartus II Analysis & Synthesis Info: Version 7.0 Build 33 02/05/2007 SJ Full Version Info: Processin
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c pl0scan.c

/******************************************************************* Program : Recursive Descent Compiler for PL/0 Module : PL0SCAN - Scanner: lexical analysis File : pl0scan.c ***
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txt readme.txt

Introduction to the Companion MATLAB Codes For use with the book "Feedback systems analysis and design with MATLAB", by Professor Dingyu Xue, Tsinghua University Press 2000 (Chinese ve
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m gainan.m

%% description % this routine is written to analysis the relationship % between n and An. Theoretically, as n approach infinite, % An will be a constant. What's more important, we will % s
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smsg top.map.smsg

Info: ******************************************************************* Info: Running Quartus II Analysis & Synthesis Info: Version 7.0 Build 33 02/05/2007 SJ Web Edition Info: Processing
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txt readme.txt

Copyright (c) 2007 by Errata Security FERRET - a broadcast analysis tool This tool is designed to demonstrate the problem of "data seapage". The average machine broadcasts a lot of information
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m fasticag.m

function fasticag(mixedsig, InitialGuess) %FASTICAG - Fast Independent Component Analysis, the Graphical User Interface % % FASTICAG gives a graphical user interface for performing independent % compo
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m pca_training.m

function face_pca_training(nEigenFaceNum,sTrainListFile) % face_pca_training.m % this program performs principal component analysis training on face images %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%