Joint Source-Channel Coding for Broadcasting Correlated Sources

This paper studies lossy transmission of a memoryless bivariate Gaussian source over a bandwidth-mismatched memoryless Gaussian broadcast channel with two receivers, where each receiver is interested in reconstructing only one source component. For both bandwidth expansion and compression regimes, n...

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Veröffentlicht in:IEEE transactions on communications Jg. 65; H. 7; S. 3012 - 3022
Hauptverfasser: Koken, Erman, Tuncel, Ertem
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Bandwidth
Bandwidth expansion/compression
Bandwidths
Bivariate analysis
broadcast channels
Coding
Compression ratio
correlated sources
Correlation analysis
Distortion
Encoding
hybrid digital/analog coding
Indexes
joint source-channel coding
Quantization (signal)
Receivers
Temperature measurement
ISSN:0090-6778, 1558-0857
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Zusammenfassung:This paper studies lossy transmission of a memoryless bivariate Gaussian source over a bandwidth-mismatched memoryless Gaussian broadcast channel with two receivers, where each receiver is interested in reconstructing only one source component. For both bandwidth expansion and compression regimes, novel hybrid digital/analog (HDA) coding schemes are proposed. With appropriate choice of parameters, our schemes are shown to specialize to separate source-channel coding studied by Gao and Tuncel, and is, therefore, superior to it in both bandwidth regimes. Our scheme for bandwidth expansion also outperforms the HDA coding scheme of Behroozi et al. On the other hand, if a proposed conjecture (supported by numerical observations) is indeed true, the same superiority follows for the bandwidth compression regime as well. Finally, when the bandwidth expansion/compression ratio approaches 1, both of our schemes become optimal as their performance approaches that of the bandwidth-matched scheme of Tian et al.
Bibliographie:ObjectType-Article-1
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2017.2698031