Estimation of Pathological Hand Tremor Signals by Fourier Linear Combiner Based Online Censoring LMS Algorithm

Menguc E. C., Rezayi N.

27th Signal Processing and Communications Applications Conference (SIU), Sivas, Turkey, 24 - 26 April 2019 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2019.8806387
  • City: Sivas
  • Country: Turkey
  • Kayseri University Affiliated: No


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.