𝔖 Bobbio Scriptorium
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Application of principal component analysis to the interpretation of rainwater compositional data

✍ Scribed by Peixun Zhang; Nelley Dudley; Allan M. Ure; David Littlejohn

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
747 KB
Volume
258
Category
Article
ISSN
0003-2670

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✦ Synopsis

Pnnclpal component analysis (PCA), based on non-hnear lteratlve parhal least squares (NIPALS) coupled Hrlth a cross-vahdatlon approach, IS apphed to data obtamed from the chenucal analysis of ramwater The correlation between vanables IS obtamed and their sources Identfied The classlficatlon of samples mto groups by PCA IS also mvestlgated The problem of data scahng and the evaluation of methods for assessmg the number of s~gmficant components m the data are also dlscussed

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This article presents the RIMO/ELISA speaker verification system which has been used in the 1999 NIST speaker recognition evaluation. This system is based on a new technique for analyzing speech signals called time-frequency principal component (TFPC) analysis. This technique consists in extracting