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• W2062203298 abstract "In order to shorten the computation time of high order statistics and improve the efficiency of LMS algorithms in suppressing the Gaussian noise, here we proposed a new fast algorithm in which the different arrival time of the linear non-Gaussian signal between two spatially separated sensors are estimated. It is assumed that the signals are corrupted by the unknown cross correlated Gaussian noises. With a polarity iterative algorithm, the computational complexity of cumulant is reduced. The simulation results show that the method works well under low SNR condition." @default.
• W2062203298 created "2016-06-24" @default.
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• W2062203298 date "2014-04-01" @default.
• W2062203298 modified "2023-09-26" @default.
• W2062203298 title "A new adaptive time delay estimation using fourth-order cumulants based on polarity iterative" @default.
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• W2062203298 doi "https://doi.org/10.1109/infoseee.2014.6948109" @default.
• W2062203298 hasPublicationYear "2014" @default.
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