Equivalence of Insertion/Deletion Correcting Codes for d-dimensional Arrays
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We consider the problem of correcting insertion and deletion errors in the d-dimensional space. This problem is well understood for vectors (one-dimensional space) and was recently studied for arrays (two-dimensional space). For vectors and arrays, the problem is motivated by several practical applications such as DNA-based storage and racetrack memories. From a theoretical perspective, it is interesting to know whether the same properties of insertion/deletion correcting codes generalize to the d-dimensional space. In this work, we show that the equivalence between insertion and deletion correcting codes generalizes to the d-dimensional space. As a particular result, we show the following missing equivalence for arrays: a code that can correct t_r and t_c row/column deletions can correct any combination of t_r^ins+t_r^del=t_r and t_c^ins+t_c^del=t_c row/column insertions and deletions. The fundamental limit on the redundancy and a construction of insertion/deletion correcting codes in the d-dimensional space remain open for future work.
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