학술논문

Algorithms for memories with stuck cells
Document Type
Conference
Source
2010 IEEE International Symposium on Information Theory Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on. :968-972 Jun, 2010
Subject
Computing and Processing
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Encoding
Phase change materials
Decoding
Partitioning algorithms
Computational complexity
Galois fields
Switches
Error correction codes
Convolutional codes
Electronic mail
Language
ISSN
2157-8095
2157-8117
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 log q n) 2 ) F q 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.