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