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Concentration of measure inequalities with applications
 


The focus of this research work is on concentration of measure inequalities and their applications in information theory and coding theory.


Journal Papers

1. M. Raginsky and I. Sason, Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Third Edition, Foundations and Trends in Communications and Information Theory, pp. 1-250, NOW Publishers, Delft, the Netherlands, December 2018 (first edition in October 2013).
   
   
2. M. Raginsky and I. Sason, "Concentration of measure inequalities and their communication and information-theoretic applications'' (invited paper), IEEE Information Theory Society Newsletter, vol. 65, no. 4, pp. 24-34, December 2015.
   
   

Some Talks on this Research Work

1. M. Raginsky and I. Sason, Concentration of Measure and Its Applications in Information Theory, Communications and Coding, 2015 IEEE International Symposium on Information Theory (ISIT 2015), Hong Kong, invited tutorial of 3 hours, June 2015. Slides: Part 1 and Part 2.
   
   
2. M. Raginsky and I. Sason, ``Refined bounds on the empirical distribution of good channel codes via concentration inequalities,'' Proceedings of the 2013 IEEE International Symposium on Information Theory, pp. 221-225, Istanbul, Turkey, July 2013. See the conference paper and presentation.
   
   
3. I. Sason, a series of three talks related to some information-theoretic aspects that are linked to concentration and the Chen-Stein method, ETH - Swiss Federal Institute of Technology, Zurich, August 20-23, 2012. See: Talk 1, and Talks 2-3.
   
   
4. I. Sason, ``Moderate deviations analysis of binary hypothesis testing,'' Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT 2012), pp. 826-830, MIT, Boston, MA, USA, July 2012. Paper and slides.
   
   
5. I. Sason, ``Tightened exponential bounds for discrete-time conditionally symmetric martingales with bounded increments,'' Proceedings of the 2012 International Workshop on Applied Probability, p. 59, Jerusalem, Israel, June 2012. Slides.
   
   
6. I. Sason, ``On concentration for martingales and applications in information theory and communications,'' Workshop on Information Theory and Applications, San-Diego, California, USA, February 2012. Slides.
   
   
7. I. Sason, ``On the concentration of the crest factor for OFDM signals,'' Proceedings of the 8th International Symposium on Wireless Communication Systems, pp. 784-788, Aachen, Germany, November 2011. Paper and slides.
   
   
8. I. Sason and R. Eshel, ``On concentration of measures for LDPC code ensembles,'' Proceedings of the 2011 IEEE International Symposium on Information Theory (ISIT 2011), pp. 1273-1277, Saint Petersburg, Russia, August 2011. Paper and slides.