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arXiv · 2011.00068

Computational Searching of Long Skew-symmetric Binary Sequences with High Merit Factors

Janez Brest·Borko Bošković
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Abstract

In this paper, we present a computational search for best-known merit factors of longer binary sequences with an odd length. Finding low autocorrelation binary sequences with optimal or suboptimal merit factors is a very difficult optimization problem. An improved version of the heuristic algorithm is presented and tackled to search for aperiodic binary sequences with good autocorrelation properties. High-performance computations with the execution of our stochastic algorithm to search skew-symmetric binary sequences with high merit factors. After experimental work, as results, we present new binary sequences with odd lengths between 201 and 303 that are skew-symmetric and have the merit factor $F$ greater than 8.5. Moreover, an example of a binary sequence having $F > 8$ has been found for all odd lengths between 201 and 303. The longest binary sequence with $F > 9$ found to date is of length 255.

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Janez Brest, Borko Bošković. 2022-08-04. Computational Searching of Long Skew-symmetric Binary Sequences with High Merit Factors. https://doi.org/10.13164/mendel.2022.2.017

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