A Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms

A Family of Variable Step-Size A ne Projection Adaptive Filtering Algorithms with Selective Regressors and Selective Partial Updates

This paper presents a family of Variable Step-Size (VSS) A ne Projection (AP) adaptive ltering algorithms with Selective Partial Updates (SPU) and Selective Regressors (SR). The presented algorithms have good convergence speed, low steady state Mean Square Error (MSE), and low computational complexity features. The stability bounds of the family of SPU-APA, SR-APA and SPU-SR-APA are analyzed, b...

A Family of Set-membership Affine Projection Adaptive Filter Algorithms

In this paper, we extend the set-membership (SM) adaptive filtering approach to the various affine projection (AP) adaptive filter algorithms to propose the computationally efficient algorithms. Based on this, the SM-APA, SM selective regressor APA (SM-SR-APA), SM dynamic selection APA (SM-DS-APA) and SM selective partial update APA (SM-SPU-APA) are established. The SM-SR-APA reduces complexity...

Nonlinear Adaptive Filtering with a Family of Kernel Affine Projection Algorithms

In this chapter, the family of kernel affine projection algorithms with coherence criterion is presented. The proportionality principle is translated to the kernel-based version. A new algorithm called Kernel Proportionate Affine Projection Algorithm (KPAPA) is proposed. It is proved that the additional computational increase burden is independent of the order of the algorithm, being dependent ...

Partial Update Adaptive Filtering

Mean-Square Performance Analysis of the Family of Selective Partial Update NLMS and Affine Projection Adaptive Filter Algorithms in Nonstationary Environment

We present the general framework for mean-square performance analysis of the selective partial update affine projection algorithm (SPU-APA) and the family of SPU normalized least mean-squares (SPU-NLMS) adaptive filter algorithms in nonstationary environment. Based on this the tracking performance of Max-NLMS, N-Max NLMS and the various types of SPU-NLMS and SPU-APA can be analyzed in a unified...