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Pregled bibliografske jedinice broj: 741381

Analysis of local time-frequency entropy features for nonstationary signal components time supports detection


Sučić, Viktor; Saulig, Nicoletta; Boashash, Boualem
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection // Digital signal processing, 34 (2014), 56-66 doi:10.1016/j.dsp.2014.07.013 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 741381 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection

Autori
Sučić, Viktor ; Saulig, Nicoletta ; Boashash, Boualem

Izvornik
Digital signal processing (1051-2004) 34 (2014); 56-66

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Time-frequency; Rényi entropy; Spectrogram; Component number

Sažetak
Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi entropy for estimation of the instantaneous number of components in a signal. Using the spectrogram, one of the most simple quadratic time-frequency distributions, the paper proves the local applicability of the counting property of the Rényi entropy. The paper also studies the influence of the entropy order and spectrogram parameters on the estimation results. Numerical simulations are provided to quantify the observed behavior of the local entropy in the case of intersecting components. The causes of decrements in the local number of time supports in the time-frequency plane are also studied. Finally, results are provided to illustrate the findings of the study and its potential use as a key step in multicomponent instantaneous frequency estimation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Viktor Sučić (autor)

Avatar Url Nicoletta Saulig (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com dx.doi.org

Citiraj ovu publikaciju:

Sučić, Viktor; Saulig, Nicoletta; Boashash, Boualem
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection // Digital signal processing, 34 (2014), 56-66 doi:10.1016/j.dsp.2014.07.013 (međunarodna recenzija, članak, znanstveni)
Sučić, V., Saulig, N. & Boashash, B. (2014) Analysis of local time-frequency entropy features for nonstationary signal components time supports detection. Digital signal processing, 34, 56-66 doi:10.1016/j.dsp.2014.07.013.
@article{article, author = {Su\v{c}i\'{c}, Viktor and Saulig, Nicoletta and Boashash, Boualem}, year = {2014}, pages = {56-66}, DOI = {10.1016/j.dsp.2014.07.013}, keywords = {Time-frequency, R\'{e}nyi entropy, Spectrogram, Component number}, journal = {Digital signal processing}, doi = {10.1016/j.dsp.2014.07.013}, volume = {34}, issn = {1051-2004}, title = {Analysis of local time-frequency entropy features for nonstationary signal components time supports detection}, keyword = {Time-frequency, R\'{e}nyi entropy, Spectrogram, Component number} }
@article{article, author = {Su\v{c}i\'{c}, Viktor and Saulig, Nicoletta and Boashash, Boualem}, year = {2014}, pages = {56-66}, DOI = {10.1016/j.dsp.2014.07.013}, keywords = {Time-frequency, R\'{e}nyi entropy, Spectrogram, Component number}, journal = {Digital signal processing}, doi = {10.1016/j.dsp.2014.07.013}, volume = {34}, issn = {1051-2004}, title = {Analysis of local time-frequency entropy features for nonstationary signal components time supports detection}, keyword = {Time-frequency, R\'{e}nyi entropy, Spectrogram, Component number} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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