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Off-line reconstruction accuracy for the 10th order UKF, Kalman filter, Wiener filter, and population vector method.

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Figshare2015-12-02 更新2026-05-11 收录
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https://figshare.com/articles/dataset/_Off_line_reconstruction_accuracy_for_the_10th_order_UKF_Kalman_filter_Wiener_filter_and_population_vector_method_/562418
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Each cell shows the SNR and CC mean��standard error of 144 data points. The last column shows the mean difference of each algorithm compared against the Kalman filter, where larger numbers are better. WF RR is the 10 tap Wiener filter fitted with ridge regression. WF OLS is the 10 tap Wiener filter fitted with ordinary least squares. Bold numbers indicate the best value in each column.
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2015-12-02
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