BAND-LIMITED SIGNAL EXTRAPOLATION USING LEAST SQUARES APPROXIMATION BY PROLATE SPHEROIDAL WAVE FUNCTIONS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133166" target="_blank" >RIV/00216305:26220/19:PU133166 - isvavai.cz</a>
Result on the web
<a href="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
slovinština
Original language name
BAND-LIMITED SIGNAL EXTRAPOLATION USING LEAST SQUARES APPROXIMATION BY PROLATE SPHEROIDAL WAVE FUNCTIONS
Original language description
This paper is concerned with the band-limited signal extrapolation using a truncated series of Prolate spheroidal wave functions. Our aim is to investigate the extent to which it is possible to extrapolate signal from its samples taken in a finite interval. It is often believed that this extrapolation method depends on computing definite integrals. We show an alternative approach by using the least squares method. We briefly discuss performanceof these two methods in thepresence of noise and the possibility of using this algorithm for real-time data processing. Finally the extrapolation algorithm is tested with real data from a microphone array.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 25 th Conference STUDENT EEICT 2019
ISBN
978-80-214-5735-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
405-408
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
Brno
Event date
Apr 25, 2019
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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