Convolutional decoders are very important in digital communication systems, especially in applications where very high noise levels are introduced on the information signal by wireless transmission. Examples of such systems are satellite communications, cellular telephony and digital audio broadcasting. The most commonly employed decoding method so far in convolutional codes has been the Viterbi algorithm, mainly implemented in digital hardware to accommodate large memory requirements. This book starts with an introduction to convolutional codes and basic digital communication systems, followed by an in depth study of the Viterbi algorithm and possible Viterbi decoder implementations. A recently proposed algorithm, known as the modified feedback decoding algorithm (MFDA), is then presented. The MFDA incorporates certain key features of the Viterbi algorithm while it requires no digital memory and therefore lends itself to an entirely analogue implementation. This in turn improves performance characteristics, effectively trading complexity and power dissipation against operating speed.
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Convolutional decoders are very important in digital communication systems, especially in applications where very high noise levels are introduced on the information signal by wireless transmission. Examples of such systems are satellite communications, cellular telephony and digital audio broadcasting. The most commonly employed decoding method so far in convolutional codes has been the Viterbi algorithm, mainly implemented in digital hardware to accommodate large memory requirements. This book starts with an introduction to convolutional codes and basic digital communication systems, followed by an in depth study of the Viterbi algorithm and possible Viterbi decoder implementations. A recently proposed algorithm, known as the modified feedback decoding algorithm (MFDA), is then presented. The MFDA incorporates certain key features of the Viterbi algorithm while it requires no digital memory and therefore lends itself to an entirely analogue implementation. This in turn improves performance characteristics, effectively trading complexity and power dissipation against operating speed.
Dr. Billy Tomatsopoulos received his B.Eng. degree in Electronic and Electrical Engineering from Brunel University, London, UK, in 2001, and the Ph.D. degree in Electronics and Communications from University College London, UK, in 2007. His research interests are in low-power analogue and mixed-signal IC design for portable devices.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Convolutional decoders are very important in digital communication systems, especially in applications where very high noise levels are introduced on the information signal by wireless transmission. Examples of such systems are satellite communications, cellular telephony and digital audio broadcasting. The most commonly employed decoding method so far in convolutional codes has been the Viterbi algorithm, mainly implemented in digital hardware to accommodate large memory requirements. This book starts with an introduction to convolutional codes and basic digital communication systems, followed by an in depth study of the Viterbi algorithm and possible Viterbi decoder implementations. A recently proposed algorithm, known as the modified feedback decoding algorithm (MFDA), is then presented. The MFDA incorporates certain key features of the Viterbi algorithm while it requires no digital memory and therefore lends itself to an entirely analogue implementation. This in turn improves performance characteristics, effectively trading complexity and power dissipation against operating speed. 164 pp. Englisch. N° de réf. du vendeur 9783838383767
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tomatsopoulos BillyDr. Billy Tomatsopoulos received his B.Eng. degree in Electronic and Electrical Engineering from Brunel University, London, UK, in 2001, and the Ph.D. degree in Electronics and Communications from University Colleg. N° de réf. du vendeur 5418632
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Etat : New. pp. 164. N° de réf. du vendeur 26128826936
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Taschenbuch. Etat : Neu. The Modified Feedback Decoding Algorithm | Design and Implementation of Low-Power CMOS Analogue Convolutional Decoders | Billy Tomatsopoulos | Taschenbuch | 164 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783838383767 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106907180
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Convolutional decoders are very important in digital communication systems, especially in applications where very high noise levels are introduced on the information signal by wireless transmission. Examples of such systems are satellite communications, cellular telephony and digital audio broadcasting. The most commonly employed decoding method so far in convolutional codes has been the Viterbi algorithm, mainly implemented in digital hardware to accommodate large memory requirements. This book starts with an introduction to convolutional codes and basic digital communication systems, followed by an in depth study of the Viterbi algorithm and possible Viterbi decoder implementations. A recently proposed algorithm, known as the modified feedback decoding algorithm (MFDA), is then presented. The MFDA incorporates certain key features of the Viterbi algorithm while it requires no digital memory and therefore lends itself to an entirely analogue implementation. This in turn improves performance characteristics, effectively trading complexity and power dissipation against operating speed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783838383767
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Convolutional decoders are very important in digital communication systems, especially in applications where very high noise levels are introduced on the information signal by wireless transmission. Examples of such systems are satellite communications, cellular telephony and digital audio broadcasting. The most commonly employed decoding method so far in convolutional codes has been the Viterbi algorithm, mainly implemented in digital hardware to accommodate large memory requirements. This book starts with an introduction to convolutional codes and basic digital communication systems, followed by an in depth study of the Viterbi algorithm and possible Viterbi decoder implementations. A recently proposed algorithm, known as the modified feedback decoding algorithm (MFDA), is then presented. The MFDA incorporates certain key features of the Viterbi algorithm while it requires no digital memory and therefore lends itself to an entirely analogue implementation. This in turn improves performance characteristics, effectively trading complexity and power dissipation against operating speed. N° de réf. du vendeur 9783838383767
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