Low-Delay Prediction- and Transform-Based Wyner-Ziv Coding

This paper studies low-delay Wyner-Ziv coding, i.e., lossy source coding with side information at the decoder, with emphasis on the extreme of zero delay. To achieve zero delay, a scalar quantizer is followed by scalar coding of quantization indices. In the fixed-length coding scenario, under high-r...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 59; H. 2; S. 653 - 666
Hauptverfasser:	Xuechen Chen, Tuncel, E
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Asymptotic properties Codes Coding Coding, codes Correlation Decoding Delay Detection, estimation, filtering, equalization, prediction Encoding Exact sciences and technology High-resolution quantization Information, signal and communications theory low-delay Miscellaneous predictive coding Quantization Sampling, quantization Scalars Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Temporal logic Transform coding Transforms Wyner-Ziv coding Performance evaluation High resolution Source coding Optimal filter Spatial correlation Rate distortion theory Time correlation Lossy medium High-resolution quantization Decoding low-delay Wyner-Ziv coding Signal quantization Transform coding Predictive coding Signal processing Wyner Ziv problem Quantifier Delay time Variable length code
ISSN:	1053-587X, 1941-0476
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Zusammenfassung:	This paper studies low-delay Wyner-Ziv coding, i.e., lossy source coding with side information at the decoder, with emphasis on the extreme of zero delay. To achieve zero delay, a scalar quantizer is followed by scalar coding of quantization indices. In the fixed-length coding scenario, under high-resolution assumptions and appropriately defined decodability constraints, the optimal quantization level density is conjectured to be periodic. This conjecture, which is provable when the correlation is high, allows for a precise analysis of the rate-distortion tradeoff. The performance of variable-length coding with periodic quantization is also characterized. The results are then incorporated in predictive Wyner-Ziv coding for Gaussian sources with memory, and optimal prediction filters are numerically designed so as to strike a balance between maximally exploiting both temporal and spatial correlation and limiting the propagation of distortion due to occasional decoding errors. Finally, the zero-delay schemes are also employed in transform coding with small block lengths, where the Gaussian source and side information are transformed separately with the premise that corresponding transform coefficient pairs exhibit good spatial correlation and minimal temporal correlation. For the specific source-side information pairs studied, it is shown that transform coding, even with a small block-length, outperforms predictive coding. Performances of both predictive and transform coding are also compared with the asymptotic rate-distortion bounds.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2010.2090524