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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2023.3280468
Abstract: In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method. Specifcally, the synthesis of either a single…
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Keywords:
learning inspired;
binary sequences;
correlation;
design binary ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3184176
Abstract: The (classical) crosscorrelation is an important measure of pseudorandomness of two binary sequences for applications in communications. The arithmetic crosscorrelation is another figure of merit introduced by Goresky and Klapper generalizing Mandelbaum’s arithmetic autocorrelation. First…
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Keywords:
two binary;
binary sequences;
crosscorrelation;
arithmetic crosscorrelation ... See more keywords
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Published in 2023 at "Cognitive Science"
DOI: 10.1111/cogs.13242
Abstract: Abstract In this article, we explore the extraction of recursive nested structure in the processing of binary sequences. Our aim was to determine whether humans learn the higher‐order regularities of a highly simplified input where…
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Keywords:
grammar;
structure;
binary sequences;
hierarchical structure ... See more keywords
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Published in 2018 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v8i4.pp2063-2071
Abstract: Switching activity and Transition density computation is an essential stage for dynamic power estimation and testing time reduction. The study of switching activity, transition densities and weighted switching activities of pseudo random binary sequences generated…
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Keywords:
transition density;
test pattern;
transition;
pattern generator ... See more keywords