DocumentCode :
3636562
Title :
Algorithms for memories with stuck cells
Author :
L.A. Lastras-Montaño;A. Jagmohan;M. M. Franceschini
Author_Institution :
IBM T. J. Watson Research Center, USA
fYear :
2010
Firstpage :
968
Lastpage :
972
Abstract :
We present a class of algorithms for encoding data in memories with stuck cells. These algorithms rely on earlier code constructions termed cyclic Partitioned Linear Block Codes. For the corresponding q-ary BCH-like codes for u stucks in a codeword of length n, our encoding algorithm has complexity O((u logq n)2) Fq operations, which we will show compares favorably to a generic approach based on Gaussian elimination. The computational complexity improvements are realized by taking advantage of the algebraic structure of cyclic codes for stucks. The algorithms are also applicable to cyclic codes for both stucks and errors.
Keywords :
"Encoding","Phase change materials","Decoding","Partitioning algorithms","Computational complexity","Galois fields","Switches","Error correction codes","Convolutional codes","Electronic mail"
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Print_ISBN :
978-1-4244-7890-3
Type :
conf
DOI :
10.1109/ISIT.2010.5513786
Filename :
5513786
Link To Document :
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