Abstract
The affine projection algorithm (APA) attracts a wide attention for its advantages such as simple frame, fast convergence rate, and so on. This paper is based on the AP algorithm to introduce nonlinear update equation for the weight error vector. So the affine projection mixed-norm (APMN) algorithm is proposed. In this paper, we use a new approach to analyse the APMN algorithm. In this thesis, the stability and convergence rate of APMN algorithm are analyzed in theory and, simulation and verification of theoretical analysis is also performed.
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Liqian, L., Bin, L., Fei, W., Lingling, L. (2016). Convergence and Steady-State Properties of the Affine Projection Mixed-Norm Algorithms. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_99
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DOI: https://doi.org/10.1007/978-3-662-49831-6_99
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