Information-Theoretic Aspects of Universal
Simulation of Random Processes
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N. Merhav and M. J. Weinberger,
``On universal simulation of information sources using training data,''
IEEE Trans. Inform. Theory, vol. 50, no. 1, pp. 5-20, January 2004.
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N. Merhav,
``Achievable key rates for universal simulation of
random data with respect to a set of statistical tests,''
IEEE Trans. Inform. Theory, vol. 50, no. 1, pp. 21-30, January 2004.
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N. Merhav and M. J. Weinberger,
``Addendum to "on universal simulation of information sources
using training data",''
IEEE Trans. Inform. Theory, vol. 51, no. 9, pp. 3181-3183,
September 2005.
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N. Merhav, G. Seroussi, and M. J. Weinberger,
``Universal delay-limited simulation,''
Proc. ISIT 2005, pp. 765-769, Adelaide, Australia, September
2005. The full journal version (in IEEE Trans. Inform.
Theory, vol. 54, no. 12, pp. 5525-5533, December 2008) is
here.
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N. Merhav and M. J. Weinberger,
``Universal simulation with fidelity criteria,''
Proc. ISIT 2006, pp. 2521-2525. The full version (
in IEEE Trans. Inform. Theory, vol. 55, no. 1, pp. 292-302, January 2009) is
here.
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A. Martin, N. Merhav, G. Seroussi, and M. J. Weinberger,
``Twice-universal
simulation of Markov sources and individual sequences,''
Proc. ISIT 2007, pp. 2876-2880, Nice, France, June 2007.
Full version, appears in IEEE Trans. on Inform. Theory
vol. 56, no. 9, pp. 4245-4255, Sept. 2010, and can be found
here.