Obiekt
Tytuł: An efficient algorithm for estimating the parameters of superimposed exponential signals in multiplicative and additive noise
Autor:
Bian, Jiawen ; Peng, Huiming ; Xing, Jing ; Liu, Zhihui ; Li, Hongwei
Data wydania:
Typ zasobu:
Współtwórca:
Korbicz, Józef - red. ; Uciński, Dariusz - red.
Tytuł publikacji grupowej:
Abstract:
This paper considers parameter estimation of superimposed exponential signals in multiplicative and additive noise which are all independent and identically distributed. A modified Newton?Raphson algorithm is used to estimate the frequencies of the considered model, which is further used to estimate other linear parameters. ; It is proved that the modified Newton-Raphson algorithm is robust and the corresponding estimators of frequencies attain the same convergence rate with Least Squares Estimators (LSEs) under the same noise conditions, but it outperforms LSEs in terms of the mean squared errors. Finally, the effectiveness of the algorithm is verified by some numerical experiments.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
DOI:
Strony:
Źródło:
AMCS, volume 23, number 1 (2013) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Typy utworów > Artykuły
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2013)
Data ostatniej modyfikacji:
2024-04-11
Data dodania obiektu:
2024-04-10
Liczba wyświetleń treści obiektu:
12
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/publication/88608
Wyświetl opis w formacie RDF:
Wyświetl opis w formacie OAI-PMH:
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23, number 1 (2013)
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