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Problemy Peredachi Informatsii, 2008, Volume 44, Issue 4, Pages 39–51
(Mi ppi1288)
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This article is cited in 1 scientific paper (total in 1 paper)
Methods of Signal Processing
Adaptive Filtering of a Random Signal in Gaussian White Noise
É. N. Belitsera, F. N. Enikeevab a Mathematical Institute, Universiteit Utrecht
b A. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences
Abstract:
We consider the problem of estimating an infinite-dimensional vector $\theta$ observed in Gaussian white noise. Under the condition that components of the vector have a Gaussian prior distribution that depends on an unknown parameter $\beta$, we construct an adaptive estimator with respect to $\beta$. The proposed method of estimation is based on the empirical Bayes approach.
Received: 30.03.2008
Citation:
É. N. Belitser, F. N. Enikeeva, “Adaptive Filtering of a Random Signal in Gaussian White Noise”, Probl. Peredachi Inf., 44:4 (2008), 39–51; Problems Inform. Transmission, 44:4 (2008), 321–332
Linking options:
https://www.mathnet.ru/eng/ppi1288 https://www.mathnet.ru/eng/ppi/v44/i4/p39
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Abstract page: | 502 | Full-text PDF : | 157 | References: | 73 | First page: | 21 |
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