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Award ID contains: 1815487

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  1. ; ; (, IEEE Transactions on Information Theory)
    Free, publicly-accessible full text available April 1, 2026
  2. ; (, IEEE Transactions on Information Theory)
    Free, publicly-accessible full text available April 1, 2026
  3. ; (, Designs, Codes and Cryptography)
    Free, publicly-accessible full text available April 1, 2026
  4. ; (, Journal of Number Theory)
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  5. ; (, IEEE Transactions on Information Theory)
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  6. ; (, IEEE Transactions on Information Theory)
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  7. ; ; (, Journal of Algebra)
    null (Ed.)
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  8. ; ; (, IEEE Transactions on Information Theory)
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  9. ; ; (, IEEE Transactions on Information Theory)
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  10. (, Lecture notes in computer science)
    Pseudorandom sequences are used extensively in communications and remote sensing. Correlation provides one measure of pseudorandomness, and low correlation is an important factor determining the performance of digital sequences in applications. We consider the problem of constructing pairs (f,g) of sequences such that both f and g have low mean square autocorrelation and f and g have low mean square mutual crosscorrelation. We focus on aperiodic correlation of binary sequences, and review recent contributions along with some historical context. 
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