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
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;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620526