Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330012056 ISBN 13: 9783330012059
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330012056 ISBN 13: 9783330012059
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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.
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330012056 ISBN 13: 9783330012059
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.