Pregled bibliografske jedinice broj: 1155193
Multivariate Decomposition of Acoustic Signals in Dispersive Channels
Multivariate Decomposition of Acoustic Signals in Dispersive Channels // Mathematics, 9 (2021), 21; 2796, 29 doi:.org/10.3390/math9212796 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1155193 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multivariate Decomposition of Acoustic Signals in
Dispersive Channels
Autori
Brajović, Miloš ; Stanković, Isidora ; Lerga, Jonatan ; Zdravevski, Eftim ; Daković, Miloš
Izvornik
Mathematics (2227-7390) 9
(2021), 21;
2796, 29
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Concentration measures ; Dispersive channels ; Multivariate signals ; Non-stationary signals ; Multicomponent signal decomposition
Sažetak
We present a signal decomposition procedure, which separates modes into individual components while preserving their integrity, in effort to tackle the challenges related to the characterization of modes in an acoustic dispersive environment. With this approach, each mode can be analyzed and processed individually, which carries opportunities for new insights into their characterization possibilities. The proposed methodology is based on the eigenanalysis of the autocorrelation matrix of the analyzed signal. When eigenvectors of this matrix are properly linearly combined, each signal component can be separately reconstructed. A proper linear combination is determined based on the minimization of concentration measures calculated exploiting time-frequency representations. In this paper, we engage a steepest-descent-like algorithm for the minimization process. Numerical results support the theory and indicate the applicability of the proposed methodology in the decomposition of acoustic signals in dispersive channels.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
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