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LOCO Codes: Lexicographically-Ordered Constrained Codes
- Publication Year :
- 2019
- Publisher :
- arXiv, 2019.
-
Abstract
- Line codes make it possible to mitigate interference, to prevent short pulses, and to generate streams of bipolar signals with no direct-current (DC) power content through balancing. They find application in magnetic recording (MR) devices, in Flash devices, in optical recording devices, and in some computer standards. This paper introduces a new family of fixed-length, binary constrained codes, named lexicographically-ordered constrained codes (LOCO codes), for bipolar non-return-to-zero signaling. LOCO codes are capacity-achieving, the lexicographic indexing enables simple, practical encoding and decoding, and this simplicity is demonstrated through analysis of circuit complexity. LOCO codes are easy to balance, and their inherent symmetry minimizes the rate loss with respect to unbalanced codes having the same constraints. Furthermore, LOCO codes that forbid certain patterns can be used to alleviate inter-symbol interference in MR systems and inter-cell interference in Flash systems. Numerical results demonstrate a gain of up to 10% in rate achieved by LOCO codes with respect to other practical constrained codes, including run-length-limited codes, designed for the same purpose. Simulation results suggest that it is possible to achieve a channel density gain of about 20% in MR systems by using a LOCO code to encode only the parity bits, limiting the rate loss, of a low-density parity-check code before writing.<br />Comment: 17 pages (double column), 2 figures, accepted at the IEEE Transactions on Information Theory (TIT), the short version was accepted at the IEEE Information Theory Workshop (ITW), this version reflects comments from reviewers at TIT and ITW
- Subjects :
- FOS: Computer and information sciences
Computer science
Computer Science - Information Theory
Information Theory (cs.IT)
Binary number
020206 networking & telecommunications
02 engineering and technology
Library and Information Sciences
Lexicographical order
Computer Science Applications
0202 electrical engineering, electronic engineering, information engineering
Code (cryptography)
Algorithm
Decoding methods
Information Systems
Parity bit
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....4257f2f63a4f37af98e6f3148b0cbe5e
- Full Text :
- https://doi.org/10.48550/arxiv.1902.10898