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http://hdl.handle.net/10662/17000
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Campo DC | Valor | idioma |
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dc.contributor.author | Nakamori, Seiichi | - |
dc.contributor.author | Hermoso Carazo, Aurora | - |
dc.contributor.author | Jiménez López, José Domingo | - |
dc.contributor.author | Linares Pérez, Josefa | - |
dc.date.accessioned | 2023-03-10T09:21:43Z | - |
dc.date.available | 2023-03-10T09:21:43Z | - |
dc.date.issued | 2005 | - |
dc.identifier.issn | 0213-8743 | - |
dc.identifier.uri | http://hdl.handle.net/10662/17000 | - |
dc.description.abstract | In this paper, two recursive algorithms are proposed and compared as a solution of the least mean-squared error linear filtering problem of a wide-sense stationary scalar signal from uncertain observations perturbed by white and coloured additive noises. Considering that the state-space model of the signal is not available and that the variables modelling the uncertainty are not independent, the proposed algorithms are derived by using covariance information. The difference between both algorithms lies in the way of calculating the filtering gain: whereas, in one of them, Chandrasekhar-type difference equations are used, the other is based on Riccatitype ones. The use of the Chandrasekhar-type equations for calculating the filtering gain reduces the number of operations to perform at each iteration of the algorithm; this fact implies that the Chandrasekhar-type algorithm is more advantageous than the Riccati-type one in a computational sense. The proposed algorithms are applied to solve the filtering problem of signals transmitted in multichannel using covariance information. | es_ES |
dc.description.sponsorship | This work was partially supported by the "Ministerio de Ciencia y Tecnología" under contract BFM2002-00932. | es_ES |
dc.format.extent | 15 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | Universidad de Extremadura, Servicio de Publicaciones | es_ES |
dc.rights | Attribution-NonCommercial 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.subject | Algoritmos recursivos | es_ES |
dc.subject | Ecuaciones tipo Chandrasekhar | es_ES |
dc.subject | Chandrasekhar-type equations | es_ES |
dc.subject | Recursive algorithms | es_ES |
dc.title | Filtering of signals transmitted in multichannel from Chandrasekhar and Riccati recursions | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 1209 Estadística | es_ES |
dc.subject.unesco | 1209.07 Teoría de la Distribución y Probabilidad | es_ES |
dc.subject.unesco | 1209.11 Teoría Estocástica y Análisis de Series Temporales | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | NAKAMORI, S. , HERMOSO CARAZO, A. , JIMÉNEZ LÓPEZ, J.D. y LINARES PÉREZ, J. (2005). Filtering of signals transmitted in multichannel from Chandrasekhar and Riccati recursions. Extracta Mathematicae, 20 (1), 71-85. E-ISSN 2605-5686 | es_ES |
dc.type.version | publishedVersion | es_ES |
dc.contributor.affiliation | Kagoshima University. Japan | es_ES |
dc.contributor.affiliation | Universidad de Granada | - |
dc.contributor.affiliation | Universidad de Jaén | - |
dc.identifier.publicationtitle | Extracta Mathematicae | es_ES |
dc.identifier.publicationissue | 1 | es_ES |
dc.identifier.publicationfirstpage | 71 | es_ES |
dc.identifier.publicationlastpage | 85 | es_ES |
dc.identifier.publicationvolume | 20 | es_ES |
dc.identifier.e-issn | 2605-5686 | - |
Colección: | Extracta Mathematicae Vol. 20, nº 1 (2005) |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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2605-5686_20_1_71.pdf | 199,53 kB | Adobe PDF | Descargar | |
2605-5686_20_1_71_ Abstract.pdf | 41,52 kB | Adobe PDF | Descargar |
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