Robust Lossy Source Coding for Correlated Fading Channels: Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection - Softcover
Synopsis
The joint source-channel coding problem for soft-decision demodulated time-correlated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with low-encoding delay are next proposed for the NBNDC-QB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizer’s indices, the channel’s soft-decision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channel’s memory and soft-decision information. For the purpose of system design, the recently introduced non-binary noise discrete channel with queue based noise (NBNDC-QB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDC-QB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder is established.
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About the Author
Shervin Sahihdi was born in Isfahan, Iran, in 1987. He received the B.Sc. degree from Isfahan University of Technology, Iran, and the M.S. from Queen's University, Kingston, Canada, both in electrical engineering, in 2009, 2011 respectively. Currently, he is a Ph.D. student in University of Toronto, Cadana in Electrical Engineering.
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Robust Lossy Source Coding for Correlated Fading Channels
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LAP LAMBERT Academic Publishing Aug 2012, 2012
ISBN 10: 3659192007
ISBN 13: 9783659192005
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The joint source-channel coding problem for soft-decision demodulated time-correlated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with low-encoding delay are next proposed for the NBNDC-QB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizer s indices, the channel s soft-decision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channel s memory and soft-decision information. For the purpose of system design, the recently introduced non-binary noise discrete channel with queue based noise (NBNDC-QB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDC-QB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder is established. 124 pp. Englisch. Seller Inventory # 9783659192005
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Robust Lossy Source Coding for Correlated Fading Channels
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shahidi ShervinShervin Sahihdi was born in Isfahan, Iran, in 1987. He received the B.Sc. degree from Isfahan University of Technology, Iran, and the M.S. from Queen s University, Kingston, Canada, both in electrical engineering, in 2. Seller Inventory # 5138429
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Robust Lossy Source Coding for Correlated Fading Channels
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The joint source-channel coding problem for soft-decision demodulated time-correlated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with low-encoding delay are next proposed for the NBNDC-QB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channel's memory and soft-decision information. For the purpose of system design, the recently introduced non-binary noise discrete channel with queue based noise (NBNDC-QB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDC-QB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder is established.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Seller Inventory # 9783659192005
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Robust Lossy Source Coding for Correlated Fading Channels | Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection
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Taschenbuch. Condition: Neu. Robust Lossy Source Coding for Correlated Fading Channels | Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection | Shervin Shahidi | Taschenbuch | 124 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659192005 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106329324
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Robust Lossy Source Coding for Correlated Fading Channels : Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection
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ISBN 10: 3659192007
ISBN 13: 9783659192005
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The joint source-channel coding problem for soft-decision demodulated time-correlated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with low-encoding delay are next proposed for the NBNDC-QB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizer s indices, the channel s soft-decision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channel s memory and soft-decision information. For the purpose of system design, the recently introduced non-binary noise discrete channel with queue based noise (NBNDC-QB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDC-QB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder is established. Seller Inventory # 9783659192005
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Robust Lossy Source Coding for Correlated Fading Channels: Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection
Published by
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ISBN 10: 3659192007
ISBN 13: 9783659192005
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