This work presents original developed methods, belonging to the soft computing area, that have been applied to solve complex signal processing problems arising in communication systems with ?adverse? conditions. The adverse conditions are given by the fact that the considered physical channel is non- linear, non stationary, and the noise is coloured impulsive noise. Modified vector quantization algorithms have been developed for adaptive channel estimation and equalization inside a digital transmission. An unsupervised hierarchical clustering method based on fuzzy partitions has been proposed and application to identification of different noise sources is discussed. The presented soft computing techniques have been developed within the area of digital communication, nevertheless they posses general applicability.
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This work presents original developed methods, belonging to the soft computing area, that have been applied to solve complex signal processing problems arising in communication systems with ?adverse? conditions. The adverse conditions are given by the fact that the considered physical channel is non- linear, non stationary, and the noise is coloured impulsive noise. Modified vector quantization algorithms have been developed for adaptive channel estimation and equalization inside a digital transmission. An unsupervised hierarchical clustering method based on fuzzy partitions has been proposed and application to identification of different noise sources is discussed. The presented soft computing techniques have been developed within the area of digital communication, nevertheless they posses general applicability.
Mauro Tucci received the Ph.D. degree in applied electromagnetism from the Department of Electrical Systems and Automation (DSEA) at the University of Pisa in 2008. Currently, he is Researcher at DSEA. His research activity is in computational intelligence, with applications in electromagnetism.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tucci MauroMauro Tucci received the Ph.D. degree in applied electromagnetism from the Department of Electrical Systems and Automation (DSEA) at the University of Pisa in 2008. Currently, he is Researcher at DSEA. His research acti. N° de réf. du vendeur 4966138
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents original developed methods, belonging to the soft computing area, that have been applied to solve complex signal processing problems arising in communication systems with adverse conditions. The adverse conditions are given by the fact that the considered physical channel is non- linear, non stationary, and the noise is coloured impulsive noise. Modified vector quantization algorithms have been developed for adaptive channel estimation and equalization inside a digital transmission. An unsupervised hierarchical clustering method based on fuzzy partitions has been proposed and application to identification of different noise sources is discussed. The presented soft computing techniques have been developed within the area of digital communication, nevertheless they posses general applicability. N° de réf. du vendeur 9783639196306
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Taschenbuch. Etat : Neu. Computational Intelligence in Power-Line Communication Systems | Advanced Methodologies for Channel and Noise Estimation in Broadband PLC | Mauro Tucci | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639196306 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101491931
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