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Nonparametric estimation of signal amplitude in white Gaussian noise

Nonparametric estimation of signal amplitude in white Gaussian noise We assume that a transmitted signal is of the form S(t)f(t), where f(t) is a known function vanishing at some points of the observation interval and S(t) is a function of a known smoothness class. The signal is transmitted over a communication channel with additive white Gaussian noise of small intensity ɛ. For this model, we construct an estimator for S(t) which is optimal with respect to the rate of convergence of the risk to zero as ɛ → 0. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

Nonparametric estimation of signal amplitude in white Gaussian noise

Problems of Information Transmission , Volume 44 (4) – Jan 24, 2009

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References (3)

Publisher
Springer Journals
Copyright
Copyright © 2008 by Pleiades Publishing, Ltd.
Subject
Engineering; Systems Theory, Control; Information Storage and Retrieval ; Electrical Engineering; Communications Engineering, Networks
ISSN
0032-9460
eISSN
1608-3253
DOI
10.1134/S0032946008040042
Publisher site
See Article on Publisher Site

Abstract

We assume that a transmitted signal is of the form S(t)f(t), where f(t) is a known function vanishing at some points of the observation interval and S(t) is a function of a known smoothness class. The signal is transmitted over a communication channel with additive white Gaussian noise of small intensity ɛ. For this model, we construct an estimator for S(t) which is optimal with respect to the rate of convergence of the risk to zero as ɛ → 0.

Journal

Problems of Information TransmissionSpringer Journals

Published: Jan 24, 2009

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