NDLI: Error-Pattern-Correcting Cyclic Codes Tailored to a Prescribed Set of Error Cluster Patterns

Content Provider	IEEE Xplore Digital Library
Author	Jihoon Park Jaekyun Moon
Copyright Year	1963
Abstract	A new class of cyclic codes is discussed which is highly tailored to a prescribed set of dominant error cluster patterns. The cyclic code construction is based on a generator polynomial that produces a distinct syndrome set for each error pattern in the target set. By tailoring the generator polynomial specifically to the set of dominant error patterns, the code becomes highly effective in handling single and multiple occurrences of dominant error patterns at a very high code rate. A list decoding strategy based on a set of test word-error events is developed for the proposed codes, which efficiently utilizes both the algebraic information from the captured syndrome and the reliability measures provided by the local correlators matched to the dominant error patterns. By forcing a decoder to correct a single-pattern event for each test input word, multiple decoders running in parallel on the list of test words can effectively correct multiple error-pattern occurrences within the channel detector output word.
Sponsorship	IEEE Information Theory Society
Starting Page	1747
Ending Page	1765
Page Count	19
File Size	1377352
File Format	PDF
ISSN	00189448
Volume Number	55
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intersymbol interference Error correction codes Decoding Testing Detectors Correlators Pattern matching Communication channels Memory Magnetic materials test word-error events Cyclic code dominant error pattern generator polynomial list decoding local error-pattern correlator reliability measure syndrome set
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Computer Science Applications

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