Pregled bibliografske jedinice broj: 644729
Nonstationary signal blind source separation using clustering algorithms
Nonstationary signal blind source separation using clustering algorithms // Proceedings of INTECH 2013
Budimpešta, Mađarska, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 644729 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Nonstationary signal blind source separation using clustering algorithms
Autori
Milanović, Željka ; Saulig, Nicoletta ; Sučić, Viktor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of INTECH 2013
/ - , 2013
Skup
International conference on innovative technologies
Mjesto i datum
Budimpešta, Mađarska, 10.09.2013. - 13.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Time-frequency analysis; signal component; blind source separation; K-means clustering algorithm; Hoshen-Kopelman; cluster classification/labeling
Sažetak
In this paper an advanced method for blind source separation of nonstationary signals applied to time frequency distributions is presented. The signal spectrogram has been generated in order to identify different spectral components, where a component is defined as a continuous energy concentration. Background noise has been filtered using K-means clustering algorithm. For component extraction and classification Hoshen-Kopelman clustering and labeling algorithm has been used. The obtained results show the suitability of the method for noisy nonstationary signals analysis, offering interesting prospective for real life applications.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka
