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- W2146736146 abstract "The identification of nonparametric impulse response functions (IRFs) from noisy, finite-length data records is analyzed using the techniques of matrix perturbation analysis. Based on these findings, we develop a new method for IRF estimation which is expected to be more robust than existing techniques, particularly when the input is non-white. An application to the identification of human ankle dynamics is presented which demonstrates the superiority of this new method over classical techniques." @default.
- W2146736146 created "2016-06-24" @default.
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- W2146736146 date "2002-11-19" @default.
- W2146736146 modified "2023-09-25" @default.
- W2146736146 title "Identification of physiological systems using pseudo-inverse based deconvolution" @default.
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- W2146736146 doi "https://doi.org/10.1109/iembs.1995.579749" @default.
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