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Pregled bibliografske jedinice broj: 1148362

A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information


Jurdana, Vedran; Volaric, Ivan; Sucic, Victor
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

Profili:

Avatar Url Ivan Volarić (autor)

Avatar Url Viktor Sučić (autor)

Avatar Url Vedran Jurdana (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Jurdana, Vedran; Volaric, Ivan; Sucic, Victor
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)
Jurdana, V., Volaric, I. & Sucic, V. (2021) A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information. U: Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis doi:10.1109/ispa52656.2021.9552042.
@article{article, author = {Jurdana, Vedran and Volaric, Ivan and Sucic, Victor}, year = {2021}, pages = {4-9}, DOI = {10.1109/ispa52656.2021.9552042}, keywords = {time-frequency distribution, ambiguity function, sparse reconstruction, S-method, Renyi entropy}, doi = {10.1109/ispa52656.2021.9552042}, title = {A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information}, keyword = {time-frequency distribution, ambiguity function, sparse reconstruction, S-method, Renyi entropy}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Jurdana, Vedran and Volaric, Ivan and Sucic, Victor}, year = {2021}, pages = {4-9}, DOI = {10.1109/ispa52656.2021.9552042}, keywords = {time-frequency distribution, ambiguity function, sparse reconstruction, S-method, Renyi entropy}, doi = {10.1109/ispa52656.2021.9552042}, title = {A Sparse TFD Reconstruction Approach Using the S- method and Local Entropies Information}, keyword = {time-frequency distribution, ambiguity function, sparse reconstruction, S-method, Renyi entropy}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Zagreb, Hrvatska} }

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