Abstract
The affine projection sign subband adaptive filter (APSSAF) algorithm has attracted much attention because of its fast convergence rate and robustness against impulsive interference. However, a drawback of this algorithm is that the step size implies a compromise between the convergence speed and steady-state error. To solve this problem, a new adaptive combination of the APSSAFs based on convex combination scheme is proposed for modeling of acoustic paths under impulsive noise environments. Moreover, a weight transfer approach is applied to further improve the performance. Simulation results demonstrate that the proposed algorithm achieves improved performance than existing algorithms when applied to modeling sparse/dispersive systems.
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