Power Spectra of Constrained Codes with Level-Based Signaling: Overcoming Finite-Length Challenges
Jessica Centers, Xinyu Tan, Ahmed Hareedy, and Robert Calderbank

TL;DR
This paper develops a method to derive the power spectrum of constrained codes with level-based signaling, including finite-length sequences, enhancing analysis for storage and transmission systems.
Contribution
It introduces a generalized framework for calculating the power spectrum of finite-length constrained codes, specifically applied to LOCO and A-LOCO codes, with closed-form solutions.
Findings
Derived power spectra for infinite-length constrained sequences.
Extended the method to finite-length codewords.
Provided closed-form spectral expressions for LOCO and A-LOCO codes.
Abstract
Constrained codes are used to eliminate error-prone patterns in various practical systems. Recently, we introduced efficient binary symmetric lexicographically-ordered constrained (LOCO) codes and asymmetric LOCO (A-LOCO) codes to increase density in magnetic recording systems and lifetime in Flash systems by eliminating the relevant detrimental patterns. Due to their application, LOCO and A-LOCO codes are associated with level-based signaling. Studying the power spectrum of a random signal with certain properties is principal for any storage or transmission system. In this paper, we first modify a framework from the literature in order to introduce a method to derive the power spectrum of a sequence of constrained data associated with level-based signaling. We apply our method to infinitely long sequences satisfying symmetric and asymmetric constraints. Next, we show how to generalize…
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