4 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Variable p norm constrained LMS algorithm based on gradient of root relative deviation.pdf
Yong Feng, Fei Chen, Jiasong Wu
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…
Error Gradient-based Variable-Lp Norm Constraint LMS Algorithm for Sparse System Identification
Yong Feng, Fei Chen, Rui Zeng +2
Sparse adaptive filtering has gained much attention due to its wide applicability in the field of signal processing. Among the main algorithm families, sparse norm constraint adapt…
Gradient Compared Lp-LMS Algorithms for Sparse System Identification
Yong Feng, Jiasong Wu, Rui Zeng +2
In this paper, we propose two novel p-norm penalty least mean square (Lp-LMS) algorithms as supplements of the conventional Lp-LMS algorithm established for sparse adaptive filteri…
p-norm-like Constraint Leaky LMS Algorithm for Sparse System Identification
Yong Feng, Rui Zeng, Jiasong Wu
In this paper, we propose a novel leaky least mean square (leaky LMS, LLMS) algorithm which employs a p-norm-like constraint to force the solution to be sparse in the application o…
p Norm Constraint Leaky LMS Algorithm for Sparse System Identification
Yong Feng, Rui Zeng, Jiasong Wu
This paper proposes a new leaky least mean square (leaky LMS, LLMS) algorithm in which a norm penalty is introduced to force the solution to be sparse in the application of system…