Pregled bibliografske jedinice broj: 1143291
On Optimal Parameters for ICI-Based Adaptive Filtering Applied to the GWs in High Noise
On Optimal Parameters for ICI-Based Adaptive Filtering Applied to the GWs in High Noise // Smart and Sustainable Technologies (SpliTech), 2021 / Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi (ur.).
Split: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 2021. str. 1-6 doi:10.23919/SpliTech52315.2021.9566364 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1143291 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On Optimal Parameters for ICI-Based Adaptive
Filtering Applied to the GWs in High Noise
Autori
Lopac, Nikola ; Lerga, Jonatan ; Saulig, Nicoletta ; Stanković, Ljubiša ; Daković, Miloš
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Smart and Sustainable Technologies (SpliTech), 2021
/ Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi - Split : Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 2021, 1-6
ISBN
978-953-290-111-5
Skup
6th International Conference on Smart and Sustainable Technologies, SpliTech 2021
Mjesto i datum
Split, Hrvatska ; Bol, Hrvatska, 08.09.2021. - 11.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
relative intersection of confidence intervals ; local polynomial approximation ; adaptive filtering ; noise reduction ; gravitational waves
Sažetak
The detection of the gravitational-wave (GW) events from the noisy measured data requires reliable filtering techniques. This paper provides the performance analysis of the intersection of confidence intervals (ICI) and local polynomial approximation (LPA) based techniques when applied to the filtering of the GW signals in the real- life, low signal-to-noise- ratio (SNR) conditions. The techniques’ sensitivities to the parameter changes are studied by evaluating the performance indices values. The analysis shows that the proper selection of the algorithm parameters is important in obtaining the optimal filtering performance, with the technique based on the relative intersection of confidence intervals (RICI) having an additional parameter that may compensate for the sub-optimally selected ICI parameter. Moreover, the evaluation of the results obtained by applying the optimally tuned filtering techniques suggests that the RICI-based technique provides better performance in filtering the GW signals, even compared to the tested wavelet-based techniques.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, 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)
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)
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)
Ustanove:
Tehnički fakultet, Rijeka,
Pomorski fakultet, Rijeka,
Sveučilište Jurja Dobrile u Puli
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus