DocumentCode
3508426
Title
Computing the capacity of rewritable memories
Author
Bunte, Christoph ; Lapidoth, Amos
Author_Institution
Signal & Inf. Process. Lab., ETH Zurich, Zurich, Switzerland
fYear
2011
fDate
July 31 2011-Aug. 5 2011
Firstpage
2512
Lastpage
2516
Abstract
We propose an algorithm for computing the capacity of discrete rewritable storage devices subject to a constraint on the maximal number of rewrite operations. The linchpin is that-although the number of writing strategies is exponential in the maximal number of allowed rewrites-linear functionals of the probabilities they induce on the output space can be efficiently maximized using Dynamic Programming.
Keywords
digital storage; dynamic programming; probability; discrete rewritable storage devices; dynamic programming; linchpin; probability linear functionals; rewritable memories; rewrite operations; writing strategies; Approximation algorithms; Entropy; Information theory; Memoryless systems; Prediction algorithms; Signal processing algorithms; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location
St. Petersburg
ISSN
2157-8095
Print_ISBN
978-1-4577-0596-0
Electronic_ISBN
2157-8095
Type
conf
DOI
10.1109/ISIT.2011.6034020
Filename
6034020
Link To Document