Robust set-membership normalized subband adaptive filtering algorithms and their application to acoustic echo cancellation
This paper presents a family of robust set-membership normalized subband adaptive
filtering (RSM-NSAF) algorithms for acoustic echo cancellation (AEC). By using a new robust …
filtering (RSM-NSAF) algorithms for acoustic echo cancellation (AEC). By using a new robust …
Proportionate RLS with l1 norm regularization: Performance analysis and fast implementation
Sparse recursive least squares (RLS) adaptive filter algorithms achieve faster convergence
and better performance than the standard RLS algorithm under sparse systems. Existing …
and better performance than the standard RLS algorithm under sparse systems. Existing …
Design of a tap-amplitude-based block proportional adaptive filtering algorithm
Proportional-type algorithms have attracted much attention because of their fast
convergence ability for sparse system identification. To overcome the drawbacks of existing …
convergence ability for sparse system identification. To overcome the drawbacks of existing …
Proportionate M-estimate adaptive filtering algorithms: Insights and improvements
In the literature, the proportionate least mean M-estimate (PLMM) algorithm exhibits good
performance when dealing with sparse systems in the presence of impulsive noises. In this …
performance when dealing with sparse systems in the presence of impulsive noises. In this …
Cluster-sparse proportionate NLMS algorithm with the hybrid norm constraint
In this paper, an enhanced proportionate normalized least mean square (PNLMS) algorithm
with the hybrid l 2, 0-norm constraint is proposed for block-sparse signal processing. The …
with the hybrid l 2, 0-norm constraint is proposed for block-sparse signal processing. The …
A two-gain NLMS algorithm for sparse system identification
This paper introduces a modified normalized least-mean-square (NLMS) algorithm for
sparse system identification. The proposed approach is in line with the proportionate NLMS …
sparse system identification. The proposed approach is in line with the proportionate NLMS …
Sparsity-promoting affine projection algorithm with periodically-updated gain matrix and its performance analysis
J Ni, N Zhang, H Li - IEEE/ACM Transactions on Audio, Speech …, 2023 - ieeexplore.ieee.org
Sparse system identification is often encountered in applications such as network and
acoustic echo cancellation. This work applies the sparsity promoting method to the affine …
acoustic echo cancellation. This work applies the sparsity promoting method to the affine …
Steady-state and tracking analyses of the improved proportionate affine projection algorithm
The performance analysis of the improved proportionate affine projection (IPAP) algorithm is
performed in this brief. Based on the energy-conservation arguments, the steady-state …
performed in this brief. Based on the energy-conservation arguments, the steady-state …
On the stochastic modeling of the LMS algorithm operating with bilinear forms
This paper presents a stochastic model of the least-mean-square for bilinear forms (LMS-BF)
algorithm in which the bilinear term is defined with respect to the temporal and spatial …
algorithm in which the bilinear term is defined with respect to the temporal and spatial …
Sparse Bayesian least-mean-squares algorithm
Echo seriously damages the speech communication quality of vehicle communication
system and seriously interferes with the normal operation of voice navigation, voice dialing …
system and seriously interferes with the normal operation of voice navigation, voice dialing …