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Constant Composition Distribution Matching
March 17, 2015 Β· Declared Dead Β· π IEEE Transactions on Information Theory
"No code URL or promise found in abstract"
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Authors
Patrick Schulte, Georg BΓΆcherer
arXiv ID
1503.05133
Category
cs.IT: Information Theory
Citations
561
Venue
IEEE Transactions on Information Theory
Last Checked
6 months ago
Abstract
Distribution matching transforms independent and Bernoulli(1/2) distributed input bits into a sequence of output symbols with a desired distribution. Fixed-to-fixed length, invertible, and low complexity encoders and decoders based on constant composition and arithmetic coding are presented. Asymptotically in the blocklength, the encoder achieves the maximum rate, namely the entropy of the desired distribution. Furthermore, the normalized divergence of the encoder output and the desired distribution goes to zero in the blocklength.
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