DocumentCode
640188
Title
Lossless compression with moderate error probability
Author
Altug, Yucel ; Wagner, Aaron B. ; Kontoyiannis, Ioannis
Author_Institution
Sch. of Electr. & Comp. Eng., Cornell Univ., Ithaca, NY, USA
fYear
2013
fDate
7-12 July 2013
Firstpage
1744
Lastpage
1748
Abstract
For the problem of lossless compression of a memoryless source, we give a detailed, precise characterization of the best achievable error probability, in the “moderate error probability” regime. This is the asymptotic setting where the probability of error decays to zero while at the same time the rate converges to the entropy at a speed no faster than 1/√N. These results combine some of the essential benefits of earlier analyses in terms of error exponents and of Gaussian approximation. Analogous results for the problem of hypothesis testing are also established.
Keywords
Gaussian processes; approximation theory; probability; Gaussian approximation; achievable error probability; asymptotic setting; error decays; error exponents; lossless compression; memoryless source; moderate error probability; precise characterization; Channel coding; Educational institutions; Entropy; Error probability; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2157-8095
Type
conf
DOI
10.1109/ISIT.2013.6620526
Filename
6620526
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