Pregled bibliografske jedinice broj: 855814
On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions
On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions // Proceedings of the 2016 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications CoBCom 2016
Graz, Austrija, 2016. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions
Autori
Volarić, Ivan ; Sučić, Viktor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2016 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications CoBCom 2016
/ - , 2016, 1-6
ISBN
978-1-5090-2270-0
Skup
International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)
Mjesto i datum
Graz, Austrija, 14.09.2016. - 16.09.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
time-frequency analysis, compressed sensing, linear programming, signal reconstruction, signal resolution
Sažetak
Time-frequency distributions (TFDs) are powerful tools for analysis of nonstationary signals, which allow us to observe signal energy distribution as a function of both time and frequency simultaneously. However, TFDs are often corrupted by artifacts, a mathematical byproduct of TFD quadratic nature. A method for artefact suppression is compressive sensing (CS) of signal ambiguity function (AF) in such a way to discard corrupted samples, and leaving only a small subset of artifact-free signal samples. However, in order to obtain a high- resolution TFD, one needs to solve a linear unconstrained optimization problem. In this paper, we analyse noise effect on TFD reconstruction based on various ℓ1 norm algorithms for different sizes of CSAF regions of interest.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka