Revision with unchanged content. The Viterbi Algorithm was originally developed in the 1960’s to decode linear error correcting convolutional codes. Its advantages include ease of implementation and using soft decisions to obtain an additional and significant coding gain. Viterbi decoding has found widespread application from space and satellite communications, down to dial up telephone modems and elsewhere, provided that a finite state machine description can be set up. Ternary line codes are used in baseband digital communication systems, notably metallic cable systems. What does the finite state machine description of these widely used nonlinear line codes look like? Can Viterbi decoding be applied to ternary line codes? What gains can be expected with soft decision Viterbi decoding? What advantage can be obtained using more bits for finer soft decision quantization? How do these gains compare to the well known 2 dB gain obtained through 3 bit quantization with linear codes? It is shown that the results obtained differ from the standard 3 bit quantization and 2 dB gain scenario. This study may lead to further new applications of Viterbi decoding with soft decisions.
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Revision with unchanged content. The Viterbi Algorithm was originally developed in the 1960’s to decode linear error correcting convolutional codes. Its advantages include ease of implementation and using soft decisions to obtain an additional and significant coding gain. Viterbi decoding has found widespread application from space and satellite communications, down to dial up telephone modems and elsewhere, provided that a finite state machine description can be set up. Ternary line codes are used in baseband digital communication systems, notably metallic cable systems. What does the finite state machine description of these widely used nonlinear line codes look like? Can Viterbi decoding be applied to ternary line codes? What gains can be expected with soft decision Viterbi decoding? What advantage can be obtained using more bits for finer soft decision quantization? How do these gains compare to the well known 2 dB gain obtained through 3 bit quantization with linear codes? It is shown that the results obtained differ from the standard 3 bit quantization and 2 dB gain scenario. This study may lead to further new applications of Viterbi decoding with soft decisions.
is currently lecturing at the University of Johannesburg (Former Rand Afrikaans University), South Africa, where he received his M. Ing. Degree with distinction and is completing his D. Ing. under the supervision of professor Hendrik C. Ferreira. His reseach fields are Power Line Communications and combined coding and modulation.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. The Viterbi Algorithm was originally developed in the 1960 s to decode linear error correcting convolutional codes. Its advantages include ease of implementation and using soft decisions to obtain an additional and significant coding gain. Viterbi decoding has found widespread application from space and satellite communications, down to dial up telephone modems and elsewhere, provided that a finite state machine description can be set up. Ternary line codes are used in baseband digital communication systems, notably metallic cable systems. What does the finite state machine description of these widely used nonlinear line codes look like Can Viterbi decoding be applied to ternary line codes What gains can be expected with soft decision Viterbi decoding What advantage can be obtained using more bits for finer soft decision quantization How do these gains compare to the well known 2 dB gain obtained through 3 bit quantization with linear codes It is shown that the results obtained differ from the standard 3 bit quantization and 2 dB gain scenario. This study may lead to further new applications of Viterbi decoding with soft decisions. 188 pp. Englisch. N° de réf. du vendeur 9783639453850
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ouahada Khmaiesis currently lecturing at the University of Johannesburg (Former Rand Afrikaans University), South Africa, where he received his M. Ing. Degree with distinction and is completing his D. Ing. under the supervision of pr. N° de réf. du vendeur 4989578
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Taschenbuch. Etat : Neu. Viterbi Decoding of Ternary Line Codes | Khmaies Ouahada | Taschenbuch | 188 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639453850 | 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 106316464
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. The Viterbi Algorithm was originally developed in the 1960's to decode linear error correcting convolutional codes. Its advantages include ease of implementation and using soft decisions to obtain an additional and significant coding gain. Viterbi decoding has found widespread application from space and satellite communications, down to dial up telephone modems and elsewhere, provided that a finite state machine description can be set up. Ternary line codes are used in baseband digital communication systems, notably metallic cable systems. What does the finite state machine description of these widely used nonlinear line codes look like Can Viterbi decoding be applied to ternary line codes What gains can be expected with soft decision Viterbi decoding What advantage can be obtained using more bits for finer soft decision quantization How do these gains compare to the well known 2 dB gain obtained through 3 bit quantization with linear codes It is shown that the results obtained differ from the standard 3 bit quantization and 2 dB gain scenario. This study may lead to further new applications of Viterbi decoding with soft decisions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. N° de réf. du vendeur 9783639453850
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. The Viterbi Algorithm was originally developed in the 1960 s to decode linear error correcting convolutional codes. Its advantages include ease of implementation and using soft decisions to obtain an additional and significant coding gain. Viterbi decoding has found widespread application from space and satellite communications, down to dial up telephone modems and elsewhere, provided that a finite state machine description can be set up. Ternary line codes are used in baseband digital communication systems, notably metallic cable systems. What does the finite state machine description of these widely used nonlinear line codes look like Can Viterbi decoding be applied to ternary line codes What gains can be expected with soft decision Viterbi decoding What advantage can be obtained using more bits for finer soft decision quantization How do these gains compare to the well known 2 dB gain obtained through 3 bit quantization with linear codes It is shown that the results obtained differ from the standard 3 bit quantization and 2 dB gain scenario. This study may lead to further new applications of Viterbi decoding with soft decisions. N° de réf. du vendeur 9783639453850
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