Computer Science – Information Theory
Scientific paper
2010-08-11
Computer Science
Information Theory
To appear in the IEEE Transactions on Information Theory, 13 pages
Scientific paper
Necessary conditions for asymptotically optimal sliding-block or stationary codes for source coding and rate-constrained simulation of memoryless sources are presented and used to motivate a design technique for trellis-encoded source coding and rate-constrained simulation. The code structure has intuitive similarities to classic random coding arguments as well as to ``fake process'' methods and alphabet-constrained methods. Experimental evidence shows that the approach provides comparable or superior performance in comparison with previously published methods on common examples, sometimes by significant margins.
Gray Robert M.
Linder Tamas
Mao Mark Z.
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