Title :
A modified belief propagation algorithm for code word quantization
Author :
Regalia, Phillip A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
fDate :
12/1/2009 12:00:00 AM
Abstract :
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.
Keywords :
binary codes; error correction codes; linear codes; quantisation (signal); rate distortion theory; source coding; code word quantization; dirty paper coding; error correction codes; information hiding; linear binary codes; lossy source compression; modified belief propagation algorithm; packet-based communication systems; rate-distortion theory; source quantization methods; Belief propagation; Binary codes; Communication systems; Cryptography; Error correction codes; Helium; Maximum likelihood decoding; Quantization; Rate-distortion; Vectors; Source compression; code word quantization; dirty paper coding; information hiding; rate-distortion theory;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.12.080050