Pregled bibliografske jedinice broj: 1227299
Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals
Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals // Sensors, 22 (2022), 21; 8251, 14 doi:10.3390/s22218251 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1227299 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Block-Adaptive Rényi Entropy-Based Denoising for
Non-Stationary Signals
Autori
Saulig, Nicoletta ; Lerga, Jonatan ; Miličić Siniša ; Tomasović, Željka
Izvornik
Sensors (1424-8220) 22
(2022), 21;
8251, 14
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Non-stationary signal ; Time-frequency distribution ; Denoising ; Rényi entropy
Sažetak
This paper approaches the problem of signal denoising in time-variable noise conditions. Non- stationary noise results in variable degradation of the signal’s useful information content over time. In order to maximize the correct recovery of the useful part of the signal, this paper proposes a denoising method that uses a criterion based on amplitude segmentation and local Rényi entropy estimation which are limited over short time blocks of the signal spectrogram. Local estimation of the signal features reduces the denoising problem to the stationary noise case. Results, presented for synthetic and real data, show consistently better performance gained by the proposed adaptive method compared to denoising driven by global criteria.
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)
Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište Jurja Dobrile u Puli
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
- MEDLINE
Uključenost u ostale bibliografske baze podataka::
- INSPEC
