A Variational Perspective over an Extremal Entropy Inequality Conference Paper

abstract

• This paper proposes a novel variational approach for proving the extremal entropy inequality (EEI) [1]. Unlike previous proofs [1], [2], the proposed variational approach is simpler and it does not require neither the classical entropy power inequality (EPI) [1], [2] nor the channel enhancement technique [1]. The proposed approach is versatile and can be easily adapted to numerous other applications such as proving or extending other fundamental information theoretic inequalities such as the EPI, worst additive noise lemma, and Cramr-Rao inequality. 2013 IEEE.

name of conference

• 2013 IEEE International Symposium on Information Theory

authors

• Serpedin, Erchin

published proceedings

• 2013 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT)

author list (cited authors)

• Park, S., Serpedin, E., & Qaraqe, M.

citation count

• 0

complete list of authors

• Park, Sangwoo||Serpedin, Erchin||Qaraqe, Marwa

publication date

• July 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Symposium on Information Theory - Proceedings  Journal

keywords

• 10 Reduced Inequalities

Digital Object Identifier (DOI)

• 10.1109/isit.2013.6620297

International Standard Book Number (ISBN) 13

• 9781479904464

start page

• 604

end page

• +

URL

• https://ieeexplore.ieee.org/xpl/conhome/6597029/proceeding

user-defined tag

• 10 Reduced Inequalities