@inproceedings{cac4ff2c097a44409e0c8b8764f80132,
title = "Wyner-Ziv encoded predictive multiple descriptions",
abstract = "The predictive multiple description coding problem can be posed as a variant of the well-known Wyner-Ziv side-information problem. Predictive MD coding in this framework (termed the WYZE-PMD) eliminates the problem of predictive mismatch without requiring restrictive channel assumptions or high latency. The performance of two-channel one-step predictive MD coding was analyzed within the WYZE-PMD framework. Achievable rate-distortion (R-D) regions were obtained for the problem of MD coding in the presence of correlated decoder side-information. These were used to obtain the operational R-D performance for predictive MD coding under certain restrictions. Practical code constructions were proposed within the WYZE-PMD framework. Performance comparisons between the proposed codes and conventional approaches were presented for communication of a first-order Gauss-Markov source over two erasure channels with independent failure probabilities. Results indicated that the proposed approach significantly out-performs conventional approaches in terms of R-D performance.",
keywords = "Data compression",
author = "Ashish Jagmohan and Narenda Ahuja",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; Data Compression Conference, DCC 2003 ; Conference date: 25-03-2003 Through 27-03-2003",
year = "2003",
doi = "10.1109/DCC.2003.1194012",
language = "English (US)",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "213--222",
editor = "Storer, {James A.} and Martin Cohn",
booktitle = "Proceedings - DCC 2003",
address = "United States",
}