Pregled bibliografske jedinice broj: 741381
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
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)
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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
Citiraj ovu publikaciju:
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