Menguc, Engin CemalRezayi, Neamatallah2024-11-072024-11-072019978-1-7281-1904-52165-0608https://doi.org/10.1109/siu.2019.8806387https://hdl.handle.net/11480/1380227th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEYIn 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.trinfo:eu-repo/semantics/closedAccessOnline consoring LMS algorithmFourier linear combinerestimation of hand tremorConference Object10.1109/siu.2019.88063872-s2.0-85071969415N/AWOS:000518994300088N/A