A New Variable Step-Size Normalized Subband Adaptive Filter Algorithm Employing Dynamic Selection of Subband Filters

This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm with dynamic selection (DS) of subband filters. The selection strategy isperformed to achieve the largest decrease between the successive mean square deviations at every iteration. The proposed VSSDS-NSAF has fast convergence speed and low steady-state mean square error (MSE). Also due to DS feature, the VSS-DSNSAFhas lower computational complexity than VSS-NSAF. Wedemonstrate the good performance of the proposed algorithm through several simulations in system identification scenario