(Enter summary)
Abstract: Multiple Description (MD) coding is a source
coding technique for information transmission over unreliable
networks. In MD coding, the coder generates several
different descriptions of the same signal and the decoder can
produce a useful reconstruction of the source with any received
subset of these descriptions. In this paper we study
the problem of MD coding of stationary Gaussian sources
with memory. First, we compute an approximate MD rate
distortion region for these sources, which we prove ... (Update)
Context of citations to this paper: More
...the reconstructed sequences. To analyze cases with more than M Gamma N erasures requires a statistical model for the input sequence. In [30], 31] 32] the input sequence is a stationary Gaussian source; in [30] 32] the case M = N = 2 and one erasure is considered, while...
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4: Quantized frame expansions with erasures
- Goyal, Kovacevi'c et al. - 2001
3: Achievable rates for multiple descriptions (context) - El-Gamal, Cover - 1982
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BibTeX entry: (Update)
P.L. Dragotti, S.D. Servetto, and M. Vetterli. Optimal filter banks for multiple description coding: Analysis and synthesis. IEEE Trans. Inform. Th. To appear. http://citeseer.ist.psu.edu/dragotti02optimal.html More
@misc{ dragotti-optimal,
author = "P. Dragotti and S. Servetto and M. Vetterli",
title = "Optimal filter banks for multiple description coding: Analysis and synthesis",
text = "P.L. Dragotti, S.D. Servetto, and M. Vetterli. Optimal filter banks for
multiple description coding: Analysis and synthesis. IEEE Trans. Inform.
Th. To appear.",
url = "citeseer.ist.psu.edu/dragotti02optimal.html" }
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Generalized multiple description coding with correlating tra..
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