Tutorials and Others
Tutorials
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N. Merhav and M. Feder,
``Universal prediction,'' (invited paper)
IEEE Trans. Inform.
Theory, vol. 44, no. 6, pp. 2124-2147, October 1998.
(Commemorative issue for fifty years of Information Theory.)
Also, in Information Theory: 50 Years of Discovery,
pp. 80-103, Eds.
S. Verdu and S. McLaughlin, IEEE Press, 1999.
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Y. Ephraim and N. Merhav,
``Hidden Markov processes,'' (invited paper)
IEEE Trans. Inform. Theory, special issue in
memory of Aaron D. Wyner,
vol. 48, no. 6, pp. 1518-1569, June 2002.
Downloadable from
Yariv Ephraim's web-page.
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G. Keshet, Y. Steinberg, and N. Merhav,
``Channel coding in the presence of side information,''
Foundations
and Trends in Communications and Information Theory,
vol. 4, issue 6, 2007.
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N. Merhav,
``Statistical physics and information theory,''
Foundations
and Trends in Communications and Information Theory,
vol. 6, nos. 1-2, pp. 1-212, 2009.
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N. Merhav and N. Weinberger,
``A toolbox for refined information-theoretic analyses with
applications,'' submitted for publication, June 2024.
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N. Merhav,
``On Jacob Ziv's individual-sequence approach to information theory,''
submitted for publication.
Others
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N. Merhav,
``On optimum strategies for minimizing exponential moments of a given cost
function,'' Communications in Information
and Systems, vol. 11, no. 4, pp. 343-368, 2011.
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N. Merhav and I. Sason,
``An integral representation of the logarithmic function with applications in
information theory,'' Entropy 2020,
22(1), 51; https://doi.org/10.3390/e22010051 published on
December 30, 2019.
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N. Merhav and I. Sason,
``Some useful integral representations for information-theoretic
analyses,'' Entropy
2020, 22(6), 707; https://doi.org/10.3390/e22060707
published on June 26, 2020.
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N. Merhav,
``Reversing Jensen's inequality for information-theoretic analyses,''
Information 2022, 13(1), 39; https://doi.org/10.3390/info13010039
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N. Merhav,
``Some families of Jensen-like inequalities with application to information
theory,'' Entropy 2023, 25(5), 752;
https://doi.org/10.3390/e25050752 May 2023.