Title :
Computing the capacity of rewritable memories
Author :
Bunte, Christoph ; Lapidoth, Amos
Author_Institution :
Signal & Inf. Process. Lab., ETH Zurich, Zurich, Switzerland
fDate :
July 31 2011-Aug. 5 2011
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;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6034020