Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing

A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an “iterative power reduction” property. An upper bound for the scheme’s achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem...

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Detalles Bibliográficos
Autores principales: Chapman, Christian, Kinsinger, Matthew, Agaskar, Ameya, Bliss, Daniel W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515373/
http://dx.doi.org/10.3390/e21090845
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author Chapman, Christian
Kinsinger, Matthew
Agaskar, Ameya
Bliss, Daniel W.
author_facet Chapman, Christian
Kinsinger, Matthew
Agaskar, Ameya
Bliss, Daniel W.
author_sort Chapman, Christian
collection PubMed
description A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an “iterative power reduction” property. An upper bound for the scheme’s achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem, which, when solved, causes the scheme to outperform others of its kind. Performance of a blocklength-one scheme is simulated and is seen to improve over plain source coding without compression in the presence of many interferers, and experiences less outages over ensembles of channels.
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spelling pubmed-75153732020-11-09 Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing Chapman, Christian Kinsinger, Matthew Agaskar, Ameya Bliss, Daniel W. Entropy (Basel) Article A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an “iterative power reduction” property. An upper bound for the scheme’s achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem, which, when solved, causes the scheme to outperform others of its kind. Performance of a blocklength-one scheme is simulated and is seen to improve over plain source coding without compression in the presence of many interferers, and experiences less outages over ensembles of channels. MDPI 2019-08-30 /pmc/articles/PMC7515373/ http://dx.doi.org/10.3390/e21090845 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chapman, Christian
Kinsinger, Matthew
Agaskar, Ameya
Bliss, Daniel W.
Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title_full Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title_fullStr Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title_full_unstemmed Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title_short Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing
title_sort distributed recovery of a gaussian source in interference with successive lattice processing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515373/
http://dx.doi.org/10.3390/e21090845
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