List decoding of crisscross errors

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


In this paper, list decoding of crisscross errors in arrays over finite fields is considered. For this purpose, the so-called cover metric is used, where the cover of a matrix is a set of rows and columns which contains all non-zero elements of the matrix. A Johnson-like upper bound on the maximum list size in the cover metric is derived, showing that the list of codewords has polynomial size up to a certain radius. Furthermore, a simple list decoding algorithm for a known optimal code construction is presented, which decodes errors in the cover metric up to our upper bound. These results reveal significant differences between the cover metric and the rank metric and show that the cover metric is more suitable for correcting crisscross errors.

Original languageEnglish
Article number7723851
Pages (from-to)142-149
Number of pages8
JournalIEEE Transactions on Information Theory
Issue number1
StatePublished - Jan 2017


  • Cover metric
  • Johnson bound
  • crisscross errors
  • list decoding


Dive into the research topics of 'List decoding of crisscross errors'. Together they form a unique fingerprint.

Cite this