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    Estimation of Pathological Hand Tremor Signals by Fourier Linear Combiner Based Online Censoring LMS Algorithm
    (IEEE, 2019) Menguc, Engin Cemal; Rezayi, Neamatallah
    In this paper, the FLC based OCLMS algorithm is proposed for the estimation of pathological hand tremor signals. The proposed FLC-OCLMS algorithm has been tested on the well-known pathological hand tremor signals in the literature and its convergence and computational complexity performances are compared with that of the classical FLC-LMS algorithm. Simulation results show that the proposed FLC-OCLMS algorithm has significantly reduced computational complexity because it does not use unnecessary data in the update rule thanks to the online data censoring technique and has a similar convergence with the conventional LMS algorithm.