JOURNAL ARTICLE

Multiple description coding using trellis coded quantization

Abstract

Multiple description coding is posed as a source coding problem that uses diversity to overcome channel impairments. In this paper, we use trellis coded quantization (TCQ) to obtain granular gain over the multiple description scalar quantizer. Several algorithms are proposed, aiming for different level of channel reliability. By investigating the relationship of the Voronoi regions of the side and central quantizers, we are able to achieve the TCQ performance at the central receiver with little sacrifice at the side receivers. On the other hand, with the side receivers both having the TCQ performance and approaching the rate distortion bound, the performance at the central receiver can get close to the multiple description rate distortion limit.

Keywords:
Quantization (signal processing) Computer science Algorithm Coding (social sciences) Trellis quantization Channel code Rate distortion Theoretical computer science Coding gain Decoding methods Mathematics Artificial intelligence Statistics

Metrics

9
Cited By
0.23
FWCI (Field Weighted Citation Impact)
6
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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