Journal article
A Recursive Construction of the Set of Binary Entropy Vectors and Related Algorithmic Inner Bounds for the Entropy Region
IEEE transactions on information theory, v 57(10), pp 6356-6363
01 Oct 2011
Abstract
A method for checking membership in the region of entropic vectors generated from bits is presented. A general technique for utilizing this method to create inner bounds for regions of entropic vectors as a function of outer bounds is then presented. These two algorithms are then used to provide new insights regarding relationships among well known bounds for the region of entropic vectors.
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Details
- Title
- A Recursive Construction of the Set of Binary Entropy Vectors and Related Algorithmic Inner Bounds for the Entropy Region
- Creators
- John MacLaren Walsh - Drexel UniversitySteven Weber - Drexel University
- Publication Details
- IEEE transactions on information theory, v 57(10), pp 6356-6363
- Publisher
- IEEE
- Number of pages
- 8
- Grant note
- 1053702 / Direct For Computer & Info Scie & Enginr; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE) 1016588 / Division of Computing and Communication Foundations; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE) National Science Foundation; National Science Foundation (NSF) CCF-0728496; CCF-1016588; CCF-1053702; FA9550-09-C-0014 / Air Force Office of Scientific Research; United States Department of Defense; Air Force Office of Scientific Research (AFOSR)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000295739000003
- Scopus ID
- 2-s2.0-80054007744
- Other Identifier
- 991019167461704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Mathematics, Applied