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Runlength-Limited Sequences and Shift-Correcting Codes: Asymptotic Analysis

Authors: Kovačević, Mladen;

Runlength-Limited Sequences and Shift-Correcting Codes: Asymptotic Analysis

Abstract

This work is motivated by the problem of error correction in bit-shift channels with the so-called $ (d,k) $ input constraints (where successive $ 1 $'s are required to be separated by at least $ d $ and at most $ k $ zeros, $ 0 \leq d < k \leq \infty $). Bounds on the size of optimal $ (d,k) $-constrained codes correcting a fixed number of bit-shifts are derived, with a focus on their asymptotic behavior in the large block-length limit. The upper bound is obtained by a packing argument, while the lower bound follows from a construction based on a family of integer lattices. Several properties of $ (d, k) $-constrained sequences that may be of independent interest are established as well; in particular, the exponential growth-rate of the number of $ (d, k) $-constrained constant-weight sequences is characterized. The results are relevant for magnetic and optical information storage systems, reader-to-tag RFID channels, and other communication models where bit-shift errors are dominant and where $ (d, k) $-constrained sequences are used for modulation.

10 pages (double-column), 2 figures. To appear in IEEE Transactions on Information Theory

Keywords

peak shift, FOS: Computer and information sciences, bit-shift channel, asymmetric distance, timing error, Discrete Mathematics (cs.DM), constant-weight code, Computer Science - Information Theory, Information Theory (cs.IT), Manhattan metric, 94B25, 94B50, 94B65, 94A55, runlength-limited sequence, constrained code, Computer Science - Discrete Mathematics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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