Abstract
In this paper, we present a novel variable step size subband affine projection (VSS-SAP) algorithm which dynamically selects subband filters in order to reduce the computational complexity and improve the convergence performance. It is called as dynamic selection variable step size subband affine projection algorithm (DS-VSS-SAP). The optimum selection of subband filters is derived by the largest decrease between the successive mean square deviations (MSDs) at every iteration. Simulation results show that the proposed algorithm has a lower misadjustment compared with the existing SAP algorithms. In addition, it retains a lower overall computational complexity.
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