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On universal simulation of information sources using training data

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2 Author(s)
Merhav, N. ; Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel ; Weinberger, M.J.

We consider a universal version of the problem of simulation, where the unknown source to be simulated is represented by a finite training sequence. While in the ordinary simulation problem, the number of random bits per symbol must exceed the entropy H of the source in order to simulate it faithfully, in universal simulation, where the probability law of the target source is always perfectly preserved, H random bits per symbol are still needed to essentially eliminate the statistical dependency between the training sequence and the output sequence.

Published in:

Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on

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