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Pregled bibliografske jedinice broj: 855814

On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions


Volarić, Ivan; Sučić, Viktor
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

Profili:

Avatar Url Ivan Volarić (autor)

Avatar Url Viktor Sučić (autor)


Citiraj ovu publikaciju:

Volarić, Ivan; Sučić, Viktor
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)
Volarić, I. & Sučić, V. (2016) On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions. U: Proceedings of the 2016 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications CoBCom 2016.
@article{article, author = {Volari\'{c}, Ivan and Su\v{c}i\'{c}, Viktor}, year = {2016}, pages = {1-6}, keywords = {time-frequency analysis, compressed sensing, linear programming, signal reconstruction, signal resolution}, isbn = {978-1-5090-2270-0}, title = {On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions}, keyword = {time-frequency analysis, compressed sensing, linear programming, signal reconstruction, signal resolution}, publisherplace = {Graz, Austrija} }
@article{article, author = {Volari\'{c}, Ivan and Su\v{c}i\'{c}, Viktor}, year = {2016}, pages = {1-6}, keywords = {time-frequency analysis, compressed sensing, linear programming, signal reconstruction, signal resolution}, isbn = {978-1-5090-2270-0}, title = {On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions}, keyword = {time-frequency analysis, compressed sensing, linear programming, signal reconstruction, signal resolution}, publisherplace = {Graz, Austrija} }




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