In any wireless communication system, one of the most desirable features users want is high speed data transfer. However, most of the current wireless systems are limited mainly by their respective bandwidths. Ultra-Wideband (UWB) has emerged as a promising technology for high-speed indoor short-range wireless communication systems. UWB receivers, however, also has many technical problems. As we all know, to digitize a UWB signal, a very high sampling rate is required according to Shannon-Nyquist sampling theorem, but it is difficult to implement with a single Analog-to-Digital Converter (ADC) chip. New theory emerged recently Compressed Sensing (CS) is regarded as the best solution to reducing sampling rate in receiver of UWB communication systems. Using compressed sensing, a signal can be sampled at sub-Nyquist rate leading to a reduced sampling rate and, hence, to a reduced the hardware complexity of the system. In this book, our major contribution is to exploit the new CS theory in the context of UWB communication technology. The aim of this work is to solve the bottleneck of the sampling at the receiver that is not feasible with state-of-the-art ADC technology.
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Nguyen Thanh Son was born in 1980. He received his PhD degrees in JiLin University. He is currently the director of scientific research and application center of Lac Hong University. His main research includes compressed sensing, Digital Image Processing, Ultra-Wideband communication systems.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In any wireless communication system, one of the most desirable features users want is high speed data transfer. However, most of the current wireless systems are limited mainly by their respective bandwidths. Ultra-Wideband (UWB) has emerged as a promising technology for high-speed indoor short-range wireless communication systems. UWB receivers, however, also has many technical problems. As we all know, to digitize a UWB signal, a very high sampling rate is required according to Shannon-Nyquist sampling theorem, but it is difficult to implement with a single Analog-to-Digital Converter (ADC) chip. New theory emerged recently Compressed Sensing (CS) is regarded as the best solution to reducing sampling rate in receiver of UWB communication systems. Using compressed sensing, a signal can be sampled at sub-Nyquist rate leading to a reduced sampling rate and, hence, to a reduced the hardware complexity of the system. In this book, our major contribution is to exploit the new CS theory in the context of UWB communication technology. The aim of this work is to solve the bottleneck of the sampling at the receiver that is not feasible with state-of-the-art ADC technology. 152 pp. Englisch. Seller Inventory # 9783330022331
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Thanh Son NguyenNguyen Thanh Son was born in 1980. He received his PhD degrees in JiLin University. He is currently the director of scientific research and application center of Lac Hong University. His main research includes compres. Seller Inventory # 159137400
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In any wireless communication system, one of the most desirable features users want is high speed data transfer. However, most of the current wireless systems are limited mainly by their respective bandwidths. Ultra-Wideband (UWB) has emerged as a promising technology for high-speed indoor short-range wireless communication systems. UWB receivers, however, also has many technical problems. As we all know, to digitize a UWB signal, a very high sampling rate is required according to Shannon-Nyquist sampling theorem, but it is difficult to implement with a single Analog-to-Digital Converter (ADC) chip. New theory emerged recently Compressed Sensing (CS) is regarded as the best solution to reducing sampling rate in receiver of UWB communication systems. Using compressed sensing, a signal can be sampled at sub-Nyquist rate leading to a reduced sampling rate and, hence, to a reduced the hardware complexity of the system. In this book, our major contribution is to exploit the new CS theory in the context of UWB communication technology. The aim of this work is to solve the bottleneck of the sampling at the receiver that is not feasible with state-of-the-art ADC technology.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. Seller Inventory # 9783330022331
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In any wireless communication system, one of the most desirable features users want is high speed data transfer. However, most of the current wireless systems are limited mainly by their respective bandwidths. Ultra-Wideband (UWB) has emerged as a promising technology for high-speed indoor short-range wireless communication systems. UWB receivers, however, also has many technical problems. As we all know, to digitize a UWB signal, a very high sampling rate is required according to Shannon-Nyquist sampling theorem, but it is difficult to implement with a single Analog-to-Digital Converter (ADC) chip. New theory emerged recently Compressed Sensing (CS) is regarded as the best solution to reducing sampling rate in receiver of UWB communication systems. Using compressed sensing, a signal can be sampled at sub-Nyquist rate leading to a reduced sampling rate and, hence, to a reduced the hardware complexity of the system. In this book, our major contribution is to exploit the new CS theory in the context of UWB communication technology. The aim of this work is to solve the bottleneck of the sampling at the receiver that is not feasible with state-of-the-art ADC technology. Seller Inventory # 9783330022331
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Taschenbuch. Condition: Neu. Ultra-Wideband Communication Technology Based on Compressed Sensing | Nguyen Thanh Son (u. a.) | Taschenbuch | 152 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330022331 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108115667
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