The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate.
Dr. Mohammed Zidane has obtained his Ph.D. degree in Signal Processing and Digital Telecommunications in 2015. Since then, he has worked in different international projects in the field of blind linear and non linear BRAN channels identification and equalization in MC-CDMA systems. He is the author of several articles published in reputed journals.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate. 80 pp. Englisch. N° de réf. du vendeur 9783330012059
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3330012056
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zidane MohammedDr. Mohammed Zidane has obtained his Ph.D. degree in Signal Processing and Digital Telecommunications in 2015. Since then, he has worked in different international projects in the field of blind linear and non linear B. N° de réf. du vendeur 158421733
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9783330012059
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate. N° de réf. du vendeur 9783330012059
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. The HOS for Blind Identification and Equalization of Systems | Recent Advances in Digital Telecommunications and Signal Processing | Mohammed Zidane (u. a.) | Taschenbuch | 80 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330012059 | 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 108115733
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