A Comparison of Methods Recovering Signals from Non-Uniform Samples

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151483" target="_blank" >RIV/00216305:26220/24:PU151483 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896324004750" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896324004750</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2024.07.386" target="_blank" >10.1016/j.ifacol.2024.07.386</a>

Result language
angličtina
Original language name
A Comparison of Methods Recovering Signals from Non-Uniform Samples
Original language description
Band-limited signals play a vital role in signal acquisition, transmission, processing and storage for decades. However, their recovery from non-uniformly spaced samples is still subject to discussion. There are multiple authors advancing different approaches and the user has to deal with an abundance of literature. Therefore, this paper offers a brief theoretical review of the most promising reconstruction methods. We also consider the importance of regularisation if the signal samples are noisy, which, surprisingly, seems to be neglected by many authors. Subsequently, the suitability of the methods is illustrated using an example of a real-world signal. Assessment of accuracy and speed of the methods is repeated for varying noise levels in signal amplitude, and for increasing degree of non-uniformities in sampling time. Cubic spline methods and sinc function reconstruction offer the best compromise between speed and accuracy for the concrete signal tested in this paper.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
18th IFAC Conference on Programmable Devices and Embedded Systems – PDeS 2024.
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
143-148
Publisher name
Elsevier
Place of publication
Brno, Czechia
Event location
Brno
Event date
Jun 19, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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