A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits.
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YuQing Guo, M.A.Sc: Studied Electrical and Computer Engineering at University of Windsor. Controls Specialist at Con-Syst-Int Group Inc., Windsor, Ontario
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Destinazione, tempi e costiDa: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Guo YuqingYuQing Guo, M.A.Sc: Studied Electrical and Computer Engineering at University of Windsor. Controls Specialist at Con-Syst-Int Group Inc., Windsor, OntarioA new adaptive filter is proposed for the turbo decoding on Rayle. Codice articolo 5163647
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits. 68 pp. Englisch. Codice articolo 9783659543425
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits. Codice articolo 9783659543425
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. In this book, by using the soft extrinsic information after each iteration of decoding, we re-estimate the channel and the minimum mean square error (m.m.s.e.) and further update the channel reliability factor and decision variables at each iteration. Simulations show that signal to noise (SNR) gain is improved by up to about 1dB at bit error probability of 3.5X10^4. Based on this research, it would be more interesting for further researchers to develop an adaptive filter that uses the extrinsic information of both systematic bits and parity bits.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Codice articolo 9783659543425
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 68. Codice articolo 26128107949
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND pp. 68. Codice articolo 18128107943
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 131431026
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