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- W2955601785 abstract "Empirical mode decomposition (EMD) offers a data-driven approach for signal filtering. In this letter, a new de-noising scheme is proposed, which estimates a pertinent probability distribution parameter with the Newton-Raphson root-finding method. The parameter estimation reduces the computational cost of relevant mode selection by reducing the range of possible mode distribution shapes. Computational complexity is assessed, revealing significant reduction in the number of operations required in comparison to a previous de-noising scheme which utilized the same form of statistical filtering. Furthermore, simulation results of the proposed EMD filter show superior performance over other EMD de-noising techniques with real biomedical recordings corrupted by colored noise." @default.
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- W2955601785 date "2019-08-01" @default.
- W2955601785 modified "2023-09-27" @default.
- W2955601785 title "An Optimized De-Noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions" @default.
- W2955601785 doi "https://doi.org/10.1109/lsp.2019.2925316" @default.
- W2955601785 hasPublicationYear "2019" @default.
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