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Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources
In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense stationary (AWSS) autoregressive (AR...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512917/ https://www.ncbi.nlm.nih.gov/pubmed/33265489 http://dx.doi.org/10.3390/e20060399 |
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author | Gutiérrez-Gutiérrez, Jesús Zárraga-Rodríguez, Marta Villar-Rosety, Fernando M. Insausti, Xabier |
author_facet | Gutiérrez-Gutiérrez, Jesús Zárraga-Rodríguez, Marta Villar-Rosety, Fernando M. Insausti, Xabier |
author_sort | Gutiérrez-Gutiérrez, Jesús |
collection | PubMed |
description | In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense stationary (AWSS) autoregressive (AR) sources. Furthermore, we also give sufficient conditions for AR processes to be AWSS. |
format | Online Article Text |
id | pubmed-7512917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75129172020-11-09 Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources Gutiérrez-Gutiérrez, Jesús Zárraga-Rodríguez, Marta Villar-Rosety, Fernando M. Insausti, Xabier Entropy (Basel) Article In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense stationary (AWSS) autoregressive (AR) sources. Furthermore, we also give sufficient conditions for AR processes to be AWSS. MDPI 2018-05-23 /pmc/articles/PMC7512917/ /pubmed/33265489 http://dx.doi.org/10.3390/e20060399 Text en © 2018 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 Gutiérrez-Gutiérrez, Jesús Zárraga-Rodríguez, Marta Villar-Rosety, Fernando M. Insausti, Xabier Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title | Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title_full | Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title_fullStr | Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title_full_unstemmed | Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title_short | Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources |
title_sort | rate-distortion function upper bounds for gaussian vectors and their applications in coding ar sources |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512917/ https://www.ncbi.nlm.nih.gov/pubmed/33265489 http://dx.doi.org/10.3390/e20060399 |
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