Autoregressive Signal Prediction Using Subset Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F01%3A00003877" target="_blank" >RIV/60461373:22340/01:00003877 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Autoregressive Signal Prediction Using Subset Selection
Original language description
The paper is devoted to signal prediction and comparison of various linear autoregressive models. The main part of the paper presents the application of singular value decomposition and QR factorisation for selection of the most appropriate linear modelorder using selected model coefficients. All results are presented in the Matlab environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of the Conf. IEPC 2001
ISBN
80-902131-7-0
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
55-56
Publisher name
Masarykova akademie práce, ČVUT
Place of publication
Praha
Event location
Praha
Event date
Sep 4, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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