Reconstruction of Non-Uniformly Sampled Signals Using Gerchberg-Papoulis Method

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136385" target="_blank" >RIV/00216305:26220/20:PU136385 - isvavai.cz</a>
Result on the web
<a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Reconstruction of Non-Uniformly Sampled Signals Using Gerchberg-Papoulis Method
Original language description
Analysis of non-uniformly sampled signals is often severely limited, since most signal processing methods rely on constant sampling period. If we still want to apply these methods, the signal must be resampled. Gerchberg-Papoulis algorithm is a method of signal reconstruction. It is commonly used for band-limited extrapolation of uniformly sampled data. We show that it is suitable for reconstruction of non-uniformly sampled signals as well. Our target application is reconstruction of time series measured by a car driving simulator. To demonstrate the benefits of band-limited reconstruction, we compare it with standard interpolation methods. The main advantage of the proposed algorithm is its ability to deal with noise and sampling jitter.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings II of the 26th Conference STUDENT EEICT 2020
ISBN
978-80-214-5868-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
136-140
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
BRNO
Event date
Apr 23, 2020
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000598376500033

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