Pregled bibliografske jedinice broj: 951407
On the L0-Norm Based Sparse Time-Frequency Distribution Reconstruction
On the L0-Norm Based Sparse Time-Frequency Distribution Reconstruction // Proceeding of the 2018 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications CoBCom 2018
Graz, Austrija, 2018. str. 1-8 doi:10.1109/COBCOM.2018.8443966 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 951407 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On the L0-Norm Based Sparse Time-Frequency Distribution Reconstruction
Autori
Volarić, Ivan ; Sučić, Viktor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of the 2018 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications CoBCom 2018
/ - , 2018, 1-8
ISBN
978-1-5386-4157-6
Skup
International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom 2018)
Mjesto i datum
Graz, Austrija, 11.06.2018. - 13.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Signal sparsity, Compressive sensing, Time-frequency distributions, Ambiguity function, l0-norm, Signal reconstruction.
Sažetak
Joint time-frequency (TF) domain often provides an additional insight into the observed phenomenon, rather than observing the phenomenon in the time and frequency domain separately. Recently, a compressive sensing (CS) approach has been proposed to solve one of the main problems of the signal TF representation: the removal of artefacts. These artefacts, also called the cross-terms, are a mathematical byproduct of the time-frequency distribution (TFD) calculation, and are usually suppressed with a low-pass filtering, the procedure which also reduces the TF resolution. The resolution loss, in the CS based approach, is avoided by an optimization procedure, which enforces the sparsity constraints to the resulting sparse TFD. In this paper, we investigate the application of the 0-norm based reconstruction algorithms for the sparse TFD calculation. Furthermore, we employ the adaptive CS scheme in order to improve the quality of the resulting sparse TFDs, while reducing the reconstruction algorithm execution time.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)