In this paper, we propose a novel affine projection sign subband adaptive filter (NAPSSAF) algorithm which can obtain better performance than the conventional APSSAF. The proposed NAPSSAF is derived by minimizing the l1-norm of the subband a posteriori error vector rather than the overall a posteriori error vector, which fully uses the subband adaptive filter’s inherent decorrelating property. Simulations in context of the system identification and acoustic echo cancellation (AEC) are carried out to demonstrate the advantages of the proposed algorithms. The results of simulations demonstrate that the proposed NAPSSAF obtains faster convergence rate than the existing algorithms.


Normalized subband adaptive filter Affine projection algorithm Acoustic echo cancellation (AEC) 



This work was partially supported by National Science Foundation of P.R. China (Grant: 61571374, 61271340 and 61433011).


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.The Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education and the School of Electrical EngineeringSouthwest Jiaotong UniversityChengduChina

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