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Constructions and a Generalization of Perfect Autocorrelation Sequences on

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Multiscale Signal Analysis and Modeling

Abstract

Low autocorrelation signals have fundamental applications in radar and communications. We construct constant amplitude zero autocorrelation (CAZAC) sequences x on the integers by means of Hadamard matrices. We then generalize this approach to construct unimodular sequences x on whose autocorrelations A x are building blocks for all functions on . As such, algebraic relations between A x and A y become relevant. We provide conditions for the validity of the formulas A x+y =A x +A y .

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Notes

  1. 1.

    For the necessary measure theory and definitions of Borel and Lebesgue measure we refer to [7].

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Acknowledgements

The first named author gratefully acknowledges the support of ONR Grant N00014-09-1-0144 and MURI-ARO Grant W911NF-09-1-0383. The second named author gratefully acknowledges the support of AFOSR Grant FA9550-10-1-0441.

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Correspondence to John J. Benedetto .

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Benedetto, J.J., Datta, S. (2013). Constructions and a Generalization of Perfect Autocorrelation Sequences on . In: Shen, X., Zayed, A. (eds) Multiscale Signal Analysis and Modeling. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4145-8_8

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  • DOI: https://doi.org/10.1007/978-1-4614-4145-8_8

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