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- W1479046841 abstract "This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R 2 values in the application of curve fitting based on the two power series." @default.
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- W1479046841 date "2010-01-01" @default.
- W1479046841 modified "2023-10-17" @default.
- W1479046841 title "Removal of noise from the body-seat interface temperature signal using empirical mode decomposition" @default.
- W1479046841 hasPublicationYear "2010" @default.
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