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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

Published in:

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

Date of Publication:

Jul 1994

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