TOTAL LEAST SQUARES IN MODELING: MATLAB TOOLBOX

被引：0

作者：

Bednarova, Dagmar ^{[1
]}

Petras, Ivo ^{[1
]}

Podlubny, Igor ^{[1
]}

Skovranek, Tomas ^{[1
]}

O'Leary, Paul ^{[2
]}

机构：

[1] Tech Univ Kosice, Fac BERG, Inst Control & Informatizat Prod Processes, B Nemcovej 3, Kosice 04200, Slovakia

[2] Univ Leoben, Inst Automat, Peter Tunnerstr 27-2nd floor, A-8700 Leoben, Austria

来源：

PROCEEDINGS OF 11TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE, 2010 | 2010年

关键词：

total least squares; orthogonal regression; Matlab;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This contribution deals with a mathematical method known as total least squares or orthogonal regression or error-in-variables method. This method can be used for modeling of the static and also dynamical processes. Wide area of application is signal and image processing. We present a Matlab toolbox which can solve basic problems related to the total least squares. Several illustrative examples are presented as well.

引用

页码：327 / 330

页数：4

共 5 条

[1]

Bednarova D, 2009, THESIS

[2]

Celmins A, 1998, STAT SCI, V13, P123

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Harker, M ;

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Zsombor-Murray, P .

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[5] State space description of national economies: The V4 countries [J].

Petras, Ivo ;

Podlubny, Igor .

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 52 (02) :1223-1233

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