On the rate region of the vector gaussian one-helper distributed source-coding problem

Zhang, G

On the rate region of the vector gaussian one-helper distributed source-coding problem

Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Data Compression Conference Proceedings, 2011, pp. 263 - 272
Issue Date:: 2011-05-12

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-4521-542X	en_US
dc.date.issued	2011-05-12	en_US
dc.identifier.citation	Data Compression Conference Proceedings, 2011, pp. 263 - 272	en_US
dc.identifier.isbn	9780769543529	en_US
dc.identifier.issn	1068-0314	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119692
dc.description.abstract	In this paper we consider the rate region of the vector Gaussian one-helper distributed source coding problem. In particular, we derive optimality conditions under which a weighted sum rate is minimum by using a contradiction-based argument. When the sources are specified to be scalar, the optimality conditions can always be constructed for any weighted sum rate. In the derivation of the optimality conditions, we introduce a new concept of "source enhancement", which can be viewed as a dual to the well known "channel enhancement" technique. In particular, source enhancement refers to the operation of increasing the covariance matrix of a Gaussian source in a partial ordering sense. This new technique makes the derivation of the optimality conditions straightforward. © 2011 IEEE.	en_US
dc.relation.ispartof	Data Compression Conference Proceedings	en_US
dc.relation.isbasedon	10.1109/DCC.2011.33	en_US
dc.title	On the rate region of the vector gaussian one-helper distributed source-coding problem	en_US
dc.type	Conference Proceeding
utslib.for	080199 Artificial Intelligence and Image Processing not elsewhere classified	en_US
utslib.for	080599 Distributed Computing not elsewhere classified	en_US
utslib.for	090609 Signal Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In this paper we consider the rate region of the vector Gaussian one-helper distributed source coding problem. In particular, we derive optimality conditions under which a weighted sum rate is minimum by using a contradiction-based argument. When the sources are specified to be scalar, the optimality conditions can always be constructed for any weighted sum rate. In the derivation of the optimality conditions, we introduce a new concept of "source enhancement", which can be viewed as a dual to the well known "channel enhancement" technique. In particular, source enhancement refers to the operation of increasing the covariance matrix of a Gaussian source in a partial ordering sense. This new technique makes the derivation of the optimality conditions straightforward. © 2011 IEEE.

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http://hdl.handle.net/10453/119692