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

ISBN 10: 3659192007 / ISBN 13: 9783659192005

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Robust Lossy Source Coding for Correlated Fading Channels | Exploiting channel memory and soft-decision information using noise resilient vector quantizer and MAP-detection
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659192007
• ISBN 13: 9783659192005
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

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.

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.