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- W2126827187 abstract "Although the reconstruction of a nonminimum-phase system excited by a stationary non-Gaussian white input is only possible using higher-order statistics (HOS) of the system output, there has been a lot of criticism in the literature against the amount of data required for keeping estimation errors low, and the complexity involved. Several attempts for reducing the variance of the HOS estimates have appeared. In the case of bandlimited signals, we have demonstrated via simulations that the estimation variance can be reduced if good slices, instead of the whole bispectrum, are used. This suggests a potential reduction of the variance in the system estimates, without having to resort to long observations. We justify theoretically the dependence of the system estimate variance on the bispectrum slice, and the criterion of slice selection. We also present simulation results, where the selected-slices approach appears to result in much lower estimation variance, as compared to other entire-bispectrum based approaches, for data lengths as low as 64 samples." @default.
- W2126827187 created "2016-06-24" @default.
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- W2126827187 date "2002-11-27" @default.
- W2126827187 modified "2023-09-26" @default.
- W2126827187 title "Use of selected HOS information for low-variance estimation of bandlimited systems with short data records" @default.
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- W2126827187 doi "https://doi.org/10.1109/icassp.1998.681768" @default.
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