Joint source-channel coding at the application layer for parallel gaussian sources

Ozgun Y. Bursalioglu; Giuseppe Caire; Maria Fresia; H. Vincent Poor

doi:10.1109/ISIT.2009.5205762

Joint source-channel coding at the application layer for parallel gaussian sources

Ozgun Y. Bursalioglu, Giuseppe Caire, Maria Fresia, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, com puted by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.

Original language	English (US)
Title of host publication	2009 IEEE International Symposium on Information Theory, ISIT 2009
Pages	2126-2130
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2009.5205762
State	Published - 2009
Event	2009 IEEE International Symposium on Information Theory, ISIT 2009 - Seoul, Korea, Republic of Duration: Jun 28 2009 → Jul 3 2009

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8102

Other

Other	2009 IEEE International Symposium on Information Theory, ISIT 2009
Country/Territory	Korea, Republic of
City	Seoul
Period	6/28/09 → 7/3/09

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2009.5205762

Cite this

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title = "Joint source-channel coding at the application layer for parallel gaussian sources",

abstract = "In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, com puted by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.",

author = "Bursalioglu, {Ozgun Y.} and Giuseppe Caire and Maria Fresia and Poor, {H. Vincent}",

year = "2009",

doi = "10.1109/ISIT.2009.5205762",

language = "English (US)",

isbn = "9781424443130",

series = "IEEE International Symposium on Information Theory - Proceedings",

pages = "2126--2130",

booktitle = "2009 IEEE International Symposium on Information Theory, ISIT 2009",

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Bursalioglu, OY, Caire, G, Fresia, M & Poor, HV 2009, Joint source-channel coding at the application layer for parallel gaussian sources. in 2009 IEEE International Symposium on Information Theory, ISIT 2009., 5205762, IEEE International Symposium on Information Theory - Proceedings, pp. 2126-2130, 2009 IEEE International Symposium on Information Theory, ISIT 2009, Seoul, Korea, Republic of, 6/28/09. https://doi.org/10.1109/ISIT.2009.5205762

Joint source-channel coding at the application layer for parallel gaussian sources. / Bursalioglu, Ozgun Y.; Caire, Giuseppe; Fresia, Maria et al.
2009 IEEE International Symposium on Information Theory, ISIT 2009. 2009. p. 2126-2130 5205762 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Joint source-channel coding at the application layer for parallel gaussian sources

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AU - Fresia, Maria

AU - Poor, H. Vincent

PY - 2009

Y1 - 2009

N2 - In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, com puted by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.

AB - In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, com puted by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.

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U2 - 10.1109/ISIT.2009.5205762

DO - 10.1109/ISIT.2009.5205762

M3 - Conference contribution

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SN - 9781424443130

T3 - IEEE International Symposium on Information Theory - Proceedings

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BT - 2009 IEEE International Symposium on Information Theory, ISIT 2009

T2 - 2009 IEEE International Symposium on Information Theory, ISIT 2009

Y2 - 28 June 2009 through 3 July 2009

ER -

Joint source-channel coding at the application layer for parallel gaussian sources

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