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New Classes of Binary Sequences with High Merit Factor

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arxiv 2206.12070 v1 pith:7C2BALJI submitted 2022-06-24 cs.IT math.IT

classification cs.ITmath.IT
keywords sequenceslengthsbinaryvaluesclassevengolayless
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The Merit Factor (MF) measure was first introduced by Golay in 1972. Sequences possessing large values of MF are of great interest to a rich list of disciplines - from physics and chemistry to digital communications, signal processing, and cryptography. Throughout the last half-century, manifold approaches and strategies were proposed for finding such sequences. Referenced as one of the most difficult optimization problems, Golay wrote that it is a "challenging and charming problem". His publications on this problem spanned more than 20 years. Golay himself introduced one beneficial class of sequences, called skew-symmetric sequences, or finite binary sequences with odd lengths with alternate autocorrelation values equal to 0. Their sieving construction greatly reduces the computational efforts of finding binary sequences with odd lengths and high MF. Having this in mind, the majority of papers to be found in the literature are focused solely on this class, preferring them over binary sequences with even lengths. In this work, a new class of finite binary sequences with even lengths with alternate autocorrelation absolute values equal to 1 is presented. We show that the MF values of the new class are closely related to the MF values of adjacent classes of skew-symmetric sequences. We further introduce new sub-classes of sequences using the partition number problem and the notion of potentials, measured by helper ternary sequences. Throughout our experiments, MF records for binary sequences with many lengths less than 225, and all lengths greater than 225, are discovered. Binary sequences of all lengths, odd or even, less than $2^8$ and with MF $>8$, and all lengths, odd or even, less than $2^9$ and with MF $>7$, are now revealed.

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  1. Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem

    cs.LG 2026-06 conditional novelty 5.0 of 10

    Thompson sampling over LABS restriction classes plus GPU self-avoiding walks yields new best merit factors for 35 lengths in 450–527 and L=573, including F=8.0555 at L=451.

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