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Sieves for low autocorrelation binary sequences

Golay, M.·1977·IEEE Transactions on Information Theory

Abstract

The value2e^{2}is calculated by approximations as a conjectured asymptotic limit for the best central to sidelobe energy ratio of very long low autocorrelation binary sequences. The same bound is calculated by approximation for skewsymmetric sequences, hence it is concluded that the requirement of skewsymmetry constitutes a powerful and effective sieve for the search for near-optimal sequences. A second sieve based on the use of complementary sequences is discussed and shown to be quite effective for sequence lengths up to 31, and its investigation for longer lengths by means of computers is suggested. A third and a fourth sieve, based on the selection of restricted classes of complementary sequences, are also discussed.

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Metadata

Authors
Golay, M.
Venue
IEEE Transactions on Information Theory
Published
1977-01
Volume
23
Issue
1
Pages
43-51
ISSN
  • 0018-9448 (ISSN-L)
  • 1557-9654
OpenAlex
W2123547620
Cited by
225
References
0
FWCI
1.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sieves for low autocorrelation binary sequences. https://app.cochat.ai/papers/10.1109/tit.1977.1055653
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Golay, M. (1977). Sieves for low autocorrelation binary sequences. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.1977.1055653

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