The area of wireless transceiver design is becoming increasingly important due to the rapid growth of wireless communications market as well as diversified design specifications. Research efforts in this area concentrates on schemes that are capable of increasing the system capacity, providing reconfigurability/reprogrammability and reducing the hardware complexity. This research adopts space diversity and statistical signal processing for digital interference suppression in wireless receivers. The signal processing technique used is Independent Component Analysis (ICA). Specifically, the fixed-point Fast-ICA is adopted in the case of static or slow time varying channel conditions. In highly dynamic environment that is typically encountered in mobile communications, a novel ICA algorithm is developed. The proposed interference suppression technique has the potential of simplifying the analog front-end by eliminating the anti-aliasing filters, and relaxing the requirements for Intermediate-Frequency (IF) bandpass filters and analog-to-digital converters. Several practical implementation issues are also considered.
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Tianyu Yang received a B.S. in Electrical Engineering from Zhejiang University, China in 2001, and a Ph.D. in Electrical Engineering from University of Central Florida, USA in 2004. Currently he is an Associate Professor of Electrical Engineering at Embry-Riddle Aeronautical University, USA. Research area: adaptive signal processing.
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang TianyuTianyu Yang received a B.S. in Electrical Engineering from Zhejiang University, China in 2001, and a Ph.D. in Electrical Engineering from University of Central Florida, USA in 2004. Currently he is an Associate Professo. Seller Inventory # 4966260
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The area of wireless transceiver design is becoming increasingly important due to the rapid growth of wireless communications market as well as diversified design specifications. Research efforts in this area concentrates on schemes that are capable of increasing the system capacity, providing reconfigurability/reprogrammability and reducing the hardware complexity. This research adopts space diversity and statistical signal processing for digital interference suppression in wireless receivers. The signal processing technique used is Independent Component Analysis (ICA). Specifically, the fixed-point Fast-ICA is adopted in the case of static or slow time varying channel conditions. In highly dynamic environment that is typically encountered in mobile communications, a novel ICA algorithm is developed. The proposed interference suppression technique has the potential of simplifying the analog front-end by eliminating the anti-aliasing filters, and relaxing the requirements for Intermediate-Frequency (IF) bandpass filters and analog-to-digital converters. Several practical implementation issues are also considered. Seller Inventory # 9783639197600
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Efficient Interference Suppression for Diversity Wireless Receivers | An Independent Component Analysis Based Approach | Tianyu Yang | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639197600 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101491912
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