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A Modified Belief Propagation Algorithm for Code Word Quantization
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DOI：10.1109/TCOMM.2009.12.080050.png)
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摘要
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Modern coding advances, including dirty paper coding and information hiding, require quantizing a given binary word to a code word. A `good' solution would approach the rate-distortion bound in lossy source compression. Here we propose a simple variant on belief propagation which is observed to converge to a solution giving respectable rate-distortion performance. Comparisons with other recently proposed source quantization methods reveal that the proposed algorithm holds particular interest in short block-length applications, as encountered in packet-based communication systems.
Keyword:
Source compression
code word quantization
rate-distortion theory
information hiding
dirty paper coding
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8.3
论文数:
1.2W
被引数:
3.6W
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59th ENMC International Workshop: Spinal Muscular Atrophies: recent progress and revised diagnostic criteria 17–19 April 1998, Soestduinen, The Netherlands第59届ENMC国际研讨会: 脊髓性肌萎缩: 最新进展和修订的诊断标准1998年4月19日，荷兰Soestduinen
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