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Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation

This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect th...

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Detalles Bibliográficos
Autores principales: Suh, Young Soo, Ro, Young Sik, Kang, Hee Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231148/
https://www.ncbi.nlm.nih.gov/pubmed/22163557
http://dx.doi.org/10.3390/s100706406
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author Suh, Young Soo
Ro, Young Sik
Kang, Hee Jun
author_facet Suh, Young Soo
Ro, Young Sik
Kang, Hee Jun
author_sort Suh, Young Soo
collection PubMed
description This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect the estimation performance, an equation to compute the estimation performance is provided. An algorithm is proposed to find sampling periods and quantization bit lengths combination, which gives good estimation performance while satisfying the transmission rate constraint. Through the numerical example, the proposed algorithm is verified.
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spelling pubmed-32311482011-12-07 Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation Suh, Young Soo Ro, Young Sik Kang, Hee Jun Sensors (Basel) Article This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect the estimation performance, an equation to compute the estimation performance is provided. An algorithm is proposed to find sampling periods and quantization bit lengths combination, which gives good estimation performance while satisfying the transmission rate constraint. Through the numerical example, the proposed algorithm is verified. Molecular Diversity Preservation International (MDPI) 2010-06-29 /pmc/articles/PMC3231148/ /pubmed/22163557 http://dx.doi.org/10.3390/s100706406 Text en © 2010 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Suh, Young Soo
Ro, Young Sik
Kang, Hee Jun
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title_full Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title_fullStr Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title_full_unstemmed Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title_short Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
title_sort optimization of the sampling periods and the quantization bit lengths for networked estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231148/
https://www.ncbi.nlm.nih.gov/pubmed/22163557
http://dx.doi.org/10.3390/s100706406
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AT royoungsik optimizationofthesamplingperiodsandthequantizationbitlengthsfornetworkedestimation
AT kangheejun optimizationofthesamplingperiodsandthequantizationbitlengthsfornetworkedestimation