| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563159 | Signal Processing | 2013 | 5 Pages |
•The MSE performance of regularized NSAFs is analyzed.•The analysis shows the impact of parameters of the regularized NSAF on the MSE.•The analysis explains the reason why the VR-NSAF obtains small misalignment.
The normalized subband adaptive filter (NSAF) has faster convergence rate than the normalized least-mean-square (NLMS) algorithm for colored input signals. Regularization of the NSAF is of importance in practical applications. In this paper, we analyze the steady-state mean-square error (MSE) of regularized NSAFs. The analysis is carried out based on the derivation of a variable regularization matrix NSAF (VRM-NSAF). Theoretical expressions for the steady-state MSE of two regularized NSAFs are derived under some assumptions. Simulation results are given to support the theoretical analysis.
