Variable tap-length adaptive algorithm which exploits both second and fourth order statistics. Yonggang Zhang Leilei Li Jonathon Chambers 2134/5587 https://repository.lboro.ac.uk/articles/conference_contribution/Variable_tap-length_adaptive_algorithm_which_exploits_both_second_and_fourth_order_statistics_/9555761 A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and controlled by fourth order statistics, whereas the coefficient update retains a conventional least mean square (LMS) form. As will be seen in the simulation results, the proposed algorithm has a faster convergence rate as compared with an existing variable tap-length LMS algorithm which is based only on second order statistics in sub-Gaussian noise environments. 2009-12-04 09:01:10 Adaptive filters LMS algorithm Variable tap-length Fourth order statistics Mechanical Engineering not elsewhere classified