Joint source-channel coding and guessing

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Joint_source_channel_coding_and_guessing.pdf (120.03 KB)

Date

1997-06-07

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Source Title

Proceedings of IEEE International Symposium on Information Theory

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Publisher

IEEE

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Pages

162

Language

English

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Conference Paper

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Abstract

We consider the joint source-channel guessing problem, define measures of optimum performance, and give single-letter characterizations. As an application, sequential decoding is considered.

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Keywords

Communication channels (information theory) , Functions , Mathematical models , Probability , Joint source channel coding , Signal encoding

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Citation

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http://hdl.handle.net/11693/27717

Published Version (Please cite this version)

https://doi.org/10.1109/ISIT.1997.613077

Collections

Scholarly Publications - Computer Engineering
Scholarly Publications - Electrical and Electronics Engineering