Pregled bibliografske jedinice broj: 1182346
Improved parametrized multiple window spectrogram with application in ship navigation systems
Improved parametrized multiple window spectrogram with application in ship navigation systems // Digital Signal Processing, 126 (2022), 103491, 14 doi:10.1016/j.dsp.2022.103491 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1182346 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improved parametrized multiple window spectrogram with application in ship navigation systems
Autori
Selimović, Denis ; Lerga, Jonatan ; Kovács, Péter ; Prpić-Oršić, Jasna
Izvornik
Digital Signal Processing (1051-2004) 126
(2022);
103491, 14
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Time-frequency analysis Multiple windows Hermite functions Variable projection Rényi entropy Ship navigation
Sažetak
In analyzing non-stationary noisy signals with time-varying frequency content, it's convenient to use distribution methods in joint, time and frequency, domains. Besides different adaptive data-driven time-frequency (TF) representations, the approach with multiple orthogonal and optimally concentrated Hermite window functions is an effective solution to achieve a good trade-off between low variance and minimized stable bias estimates. In this paper, we propose a novel spectrogram method with multiple optimally parameterized Hermite window functions, with parameterization which includes a pair of free parameters to regulate the shape of the window functions. The computation is performed in the optimization process to minimize the variable projection (VP) functional problem. The proposed parametrized distribution method improves TF concentration and instantaneous frequency (IF) estimation accuracy, as shown in experimental results for synthetic signals and real-life ship motion response signals. With the optimization of nonlinear least-squares approximation of the ship response signals, the Hermite spectra are centralized, and only up to 15 basis functions are sufficient for concentration improvement in the TF domain.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Računarstvo
POVEZANOST RADA
Projekti:
IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (DESSERT) (Prpić-Oršić, Jasna, HRZZ - 2018-01) ( CroRIS)
MINGO-ESIF-KK.01.2.1.02.0179 - ABsistemDCiCloud (ABsistemDCiCloud) (Lerga, Jonatan, MINGO - Fond: Europski fond za regionalni razvoj Program: OP Konkurentnost i kohezija 2014. - 2020. Jačanje gospodarstva primjenom istraživanja i inovacija Područje: IRI - Povećanje razvoja novih proizvoda i usluga koji proizlaze iz aktivnosti istraživanja i raz) ( CroRIS)
VLASTITA-SREDSTVA-uniri-tehnic-17 - Računalom potpomognuta digitalna analiza i klasifikacija signala (UNIRI-TEHNIC-18-17) (Lerga, Jonatan, VLASTITA-SREDSTVA - UNIRI2018) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-15 - Razvoj postupaka temeljenih na strojnom učenju za prepoznavanje bolesti i ozljeda iz medicinskih slika (Štajduhar, Ivan, NadSve ) ( CroRIS)
MZO-BI-HR/20-21-043 - Analiza hiperspektralnih slika korištenjem strojnog učenja i adaptivnog filtrianja prilagođenog podacima (Lerga, Jonatan, MZO ) ( CroRIS)
COST-CA17137 - Mreža za gravitacijske valove, geofiziku i strojno učenje (G2NET) (COST ) ( 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