Pregled bibliografske jedinice broj: 1148362
A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information
A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information // Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis
Zagreb, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 4-9 doi:10.1109/ispa52656.2021.9552042 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A Sparse TFD Reconstruction Approach Using the S-
method and Local Entropies Information
Autori
Jurdana, Vedran ; Volaric, Ivan ; Sucic, Victor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 4-9
Skup
12th International Symposium on Image and Signal Processing and Analysis (ISPA 2021)
Mjesto i datum
Zagreb, Hrvatska, 13.09.2021. - 15.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
time-frequency distribution, ambiguity function, sparse reconstruction, S-method, Renyi entropy
Sažetak
This paper aims to investigate the S-method (SM) as an alternative for the Wigner-Ville Distribution (WVD) when used as the starting point for a sparse time- frequency distribution (TFD) reconstruction of non-stationary signals. The motivation comes from the SM’s ability of providing a high- resolution TFD with satisfactory cross- and inner-artefact suppression, which should lead to a reconstructed TFD performance improvement over the WVD. The comparison between the WVD and the SM has been conducted using several state-of-the- art algorithms optimized with the multi-objective meta-heuristic optimization method (by minimizing the mean squared error between the local number of components in the starting and reconstructed TFDs and the number of regions with continuously connected samples). The results are shown for single and multi-component noisy synthetic signals.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka