A Sequential Selection Normalized Subband Adaptive Filter with Variable Step-Size Algorithms

Abstract EN

This letter proposes a sequential selection normalized subband adaptive filter (SS-NSAF) in order to reduce the computational complexity.

In addition, a variable step-size algorithm is also proposed using the mean-square deviation analysis of the SS-NSAF.

To enhance the performance in terms of the convergence speed, we propose an improved variable step-size SS-NSAF using a two-stage concept.

The simulation results show the low computational complexity and low misalignment errors using the proposed algorithm.