The correlation measures of finite sequences: limiting distributions and minimum values
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Publication:2826765
DOI10.1090/TRAN6650zbMath1357.11066arXiv1404.0172OpenAlexW2962882892MaRDI QIDQ2826765
Publication date: 18 October 2016
Published in: Transactions of the American Mathematical Society (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1404.0172
limiting distributionwell-distribution measurenormality measurebinary sequences and netsorder \(r\) correlation measurestrong existence results
Related Items (2)
On the typical values of the cross-correlation measure ⋮ Pseudorandom sequences derived from automatic sequences
Cites Work
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- On the limit distribution of the well-distribution measure of random binary sequences
- A technique to study the correlation measures of binary sequences
- On the limit distribution of the normality measure of random binary sequences
- Measures of Pseudorandomness for Finite Sequences: Minimal Values
- Autocorrelations of Random Binary Sequences
- On lower bounds to the maximum correlation of complex roots-of-unity sequences
- Lower bounds on the maximum cross correlation of signals (Corresp.)
- On finite pseudorandom binary sequences I: Measure of pseudorandomness, the Legendre symbol
- On finite pseudorandom binary sequences VII: The measures of pseudorandomness
- The peak sidelobe level of random binary sequences
- Measures of pseudorandomness for finite sequences: typical values
- On the correlation of binary sequences
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