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Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level
We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with resp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670026/ https://www.ncbi.nlm.nih.gov/pubmed/37998214 http://dx.doi.org/10.3390/e25111522 |
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author | Lev, Omri Khina, Anatoly |
author_facet | Lev, Omri Khina, Anatoly |
author_sort | Lev, Omri |
collection | PubMed |
description | We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, that uses modulo-lattice modulation with multiple layers. For each layer, we employ either analog linear modulation or analog pulse-position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement. |
format | Online Article Text |
id | pubmed-10670026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106700262023-11-06 Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level Lev, Omri Khina, Anatoly Entropy (Basel) Article We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, that uses modulo-lattice modulation with multiple layers. For each layer, we employ either analog linear modulation or analog pulse-position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement. MDPI 2023-11-06 /pmc/articles/PMC10670026/ /pubmed/37998214 http://dx.doi.org/10.3390/e25111522 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lev, Omri Khina, Anatoly Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title | Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title_full | Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title_fullStr | Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title_full_unstemmed | Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title_short | Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
title_sort | energy-limited joint source–channel coding of gaussian sources over gaussian channels with unknown noise level |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670026/ https://www.ncbi.nlm.nih.gov/pubmed/37998214 http://dx.doi.org/10.3390/e25111522 |
work_keys_str_mv | AT levomri energylimitedjointsourcechannelcodingofgaussiansourcesovergaussianchannelswithunknownnoiselevel AT khinaanatoly energylimitedjointsourcechannelcodingofgaussiansourcesovergaussianchannelswithunknownnoiselevel |