Rate-Constrained Simulation and Source Coding i.i.d. Sources

M. Mao, Robert M. Gray, Tamás Linder · IEEE Transactions on Information Theory · 2011

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.

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