Pregled bibliografske jedinice broj: 872318
Corrigendum to “Retrieving sinusoids from nonuniformly sampled data using recursive formulations” Expert Systems with Applications Volume 72 (2017) 245–257
Corrigendum to “Retrieving sinusoids from nonuniformly sampled data using recursive formulations” Expert Systems with Applications Volume 72 (2017) 245–257 // Expert systems with applications, 81 (2017), 474-474 doi:10.1016/j.eswa.2017.04.011 (podatak o recenziji nije dostupan, ispravak, znanstveni)
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Naslov
Corrigendum to “Retrieving sinusoids from nonuniformly sampled data using recursive formulations” Expert Systems with Applications Volume 72 (2017) 245–257
Autori
Marić, Ivan
Izvornik
Expert systems with applications (0957-4174) 81
(2017);
474-474
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, ispravak, znanstveni
Ključne riječi
Signal decomposition ; Signal recovery ; Sparse set of sinusoids ; Time series modeling ; Predictive least squares
Sažetak
The author regrets to inform that six errors have been discovered in this article. The main error refers to the “log-likelihood” term in equations (4), (5), (34), which is shown as approximated by using the sum squared error (SSE) but in our simulations it was actually approximated by using the square root of the SSE and all the results presented in the paper are obtained in that way. Using the square root of the SSE in the log-likelihood term in the Eq. (5) has the same effect as when increasing its model-complexity penalty term by a factor of 2. A couple of other less significant errors are also corrected.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
098-0982560-2565 - Postupci računalne inteligencije u mjernim sustavima (Marić, Ivan, MZOS ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
Profili:
Ivan Marić
(autor)
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
Uključenost u ostale bibliografske baze podataka::
- Cambridge/Computer and Information Abstracts
- Research Alert
- SCISEARCH
- Scopus
- Science Citation Index Expanded