Variable p norm constrained LMS algorithm based on gradient of root relative deviation.pdf [article]

Yong Feng, Fei Chen, Jiasong Wu
2016 arXiv   pre-print
A new Lp-norm constraint least mean square (Lp-LMS) algorithm with new strategy of varying p is presented, which is applied to system identification in this letter. The parameter p is iteratively adjusted by the gradient method applied to the root relative deviation of the estimated weight vector. Numerical simulations show that this new algorithm achieves lower steady-state error as well as equally fast convergence compared with the traditional Lp-LMS and LMS algorithms in the application
more » ... ng of sparse system identification in the presence of noise.
arXiv:1603.09022v1 fatcat:wqq3gnnukvabzgfttnxnuot5ju