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A hybrid approach to harmonic retrieval in non-Gaussian ARMA noise

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3 Author(s)
Xian-Da Zhang ; Dept. of Autom., Tsinghua Univ., Beijing, China ; Ying-Chang Liang ; Yan-Da Li

Addresses the harmonic retrieval problem in colored noise. As contrasted to the reported studies in which Gaussian noise was assumed, this paper focuses on additive non-Gaussian ARMA noise. Our approach is hybrid in the sense that third-order cumulants are first used to identify the AR part of the non-Gaussian noise process, and then correlation-based high-resolution methods are used for the filtered process to estimate the number of harmonics and their frequencies. Simulation examples are presented to demonstrate the high resolution of this approach

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Information Theory, IEEE Transactions on  (Volume:40 ,  Issue: 4 )