@inproceedings{d0fe05231a554ff593629ca927ca63cb,
title = "Joint source-channel coding at the application layer",
abstract = "The multicasting of an independent and identically distributed Gaussian source over a binary erasure broadcast channel is considered. This model applies to a one-to-many transmission scenario in which some mechanism at the physical layer delivers information packets with losses represented by erasures, and users are subject to different erasure probabilities. The reconstruction signal-to-noise ratio (SNR) region achieved by concatenating a multiresolution source code with a broadcast channel code is characterized and four convex optimization problems corresponding to different performance criteria are solved. Each problem defines a particular operating point on the dominant face of the SNR region. Layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary raptor encoders. The proposed schemes are shown to operate very close to the theoretical optimum.",
author = "Bursalioglu, {O. Y.} and M. Fresia and G. Caire and Poor, {H. Vincent}",
year = "2009",
doi = "10.1109/dcc.2009.10",
language = "English (US)",
isbn = "9780769535920",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "93--102",
booktitle = "Proceedings - 2009 Data Compression Conference, DCC 2009",
address = "United States",
}