2000
DOI: 10.1109/18.841187
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MDS array codes for correcting a single criss-cross error

Abstract: Abstract-We present a family of Maximum-Distance Separable (MDS) array codes of size ( 1) ( 1), a prime number, and minimum criss-cross distance 3, i.e., the code is capable of correcting any row or column in error, without a priori knowledge of what type of error occurred. The complexity of the encoding and decoding algorithms is lower than that of known codes with the same error-correcting power, since our algorithms are based on exclusive-OR operations over lines of different slopes, as opposed to algebraic… Show more

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Cited by 19 publications
(14 citation statements)
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“…Note that it is not possible to correct such an error pattern using a code equipped with the Hamming metric. On the other hand, rank-metric codes are well known for their ability to effectively correct rankerrors [12], [13].…”
Section: Introductionmentioning
confidence: 99%
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“…Note that it is not possible to correct such an error pattern using a code equipped with the Hamming metric. On the other hand, rank-metric codes are well known for their ability to effectively correct rankerrors [12], [13].…”
Section: Introductionmentioning
confidence: 99%
“…Errors and erasures that affect a limited number of rows and/or columns are usually referred to as crisscross patterns [12], [13]. (See Fig.…”
Section: Introductionmentioning
confidence: 99%
“…Afterwards, add a third non-zero diagonal to each of the "valid" matrices, i.e., consider vecdiag(e (0) , e (1) , e (2) ), for all e (2) ∈ L H 2 . There are at most H · C (q; η 2 , d, τ ) such matrices.…”
Section: A Decoding Ideamentioning
confidence: 99%
“…A similar statement as Lemma 1 holds for any three non-zero diagonals. Thus, when we discard all matrices 2014 IEEE International Symposium on Information Theory vecdiag(e (0) , e (1) , e (2) ) of cover weight greater than τ , at most C (q; η 3 , d, τ ) matrices remain. We continue this strategy until we reach L H m−1 and we finally obtain a list L C of size |L C | ≤ C containing all matrices E of cover weight at most τ ≤ min{τ H , τ C − 1} such that (R − E) ∈ C(C, m).…”
Section: A Decoding Ideamentioning
confidence: 99%
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