Adaptive filtering of a random signal in Gaussian white noise

We consider the problem of estimating an infinite-dimensional vector θ observed in Gaussian white noise. Under the condition that components of the vector have a Gaussian prior distribution that depends on an unknown parameter β , we construct an adaptive estimator with respect to β . The proposed m...

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Veröffentlicht in:Problems of information transmission 2008-12, Vol.44 (4), p.321-332
Hauptverfasser: Belitser, E. N., Enikeeva, F. N.
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creator Belitser, E. N.
Enikeeva, F. N.
description We consider the problem of estimating an infinite-dimensional vector θ observed in Gaussian white noise. Under the condition that components of the vector have a Gaussian prior distribution that depends on an unknown parameter β , we construct an adaptive estimator with respect to β . The proposed method of estimation is based on the empirical Bayes approach.
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subjects Communications Engineering
Control
Electrical Engineering
Engineering
Information Storage and Retrieval
Methods of Signal Processing
Networks
Systems Theory
title Adaptive filtering of a random signal in Gaussian white noise
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