TY - GEN
T1 - Coding for Sequence Reconstruction for Single Edits
AU - Kiah, Han Mao
AU - Nguyen, Tuan Thanh
AU - Yaakobi, Eitan
N1 - Publisher Copyright: © 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - The sequence reconstruction problem, introduced by Levenshtein in 2001, considers a communication scenario where the sender transmits a codeword from some codebook and the receiver obtains multiple noisy reads of the codeword. The common setup assumes the codebook to be the entire space and the problem is to determine the minimum number of distinct reads that is required to reconstruct the transmitted codeword.Motivated by modern storage devices, we study a variant of the problem where the number of noisy reads N is fixed. Specifically, we design reconstruction codes that reconstruct a codeword from N distinct noisy reads. We focus on channels that introduce single edit error (i.e. a single substitution, insertion, or deletion) and their variants, and design reconstruction codes for all values of N. In particular, for the case of a single edit, we show that as the number of noisy reads increases, the number of redundant bits required can be gracefully reduced from logn + O(1) to loglogn + O(1), and then to O(1), where n denotes the length of a codeword. We also show that the redundancy of certain reconstruction codes is within one bit of optimality.
AB - The sequence reconstruction problem, introduced by Levenshtein in 2001, considers a communication scenario where the sender transmits a codeword from some codebook and the receiver obtains multiple noisy reads of the codeword. The common setup assumes the codebook to be the entire space and the problem is to determine the minimum number of distinct reads that is required to reconstruct the transmitted codeword.Motivated by modern storage devices, we study a variant of the problem where the number of noisy reads N is fixed. Specifically, we design reconstruction codes that reconstruct a codeword from N distinct noisy reads. We focus on channels that introduce single edit error (i.e. a single substitution, insertion, or deletion) and their variants, and design reconstruction codes for all values of N. In particular, for the case of a single edit, we show that as the number of noisy reads increases, the number of redundant bits required can be gracefully reduced from logn + O(1) to loglogn + O(1), and then to O(1), where n denotes the length of a codeword. We also show that the redundancy of certain reconstruction codes is within one bit of optimality.
UR - http://www.scopus.com/inward/record.url?scp=85090416954&partnerID=8YFLogxK
U2 - 10.1109/ISIT44484.2020.9174139
DO - 10.1109/ISIT44484.2020.9174139
M3 - منشور من مؤتمر
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 676
EP - 681
BT - 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
T2 - 2020 IEEE International Symposium on Information Theory, ISIT 2020
Y2 - 21 July 2020 through 26 July 2020
ER -