Adaptive distributed incremental networks based on the selective partial update affine projection algorithm

This paper presents the problem of distributed estimation in an adaptive incremental network based on the selective partial update affine projection algorithm (SPU-APA). In dSPU-APA, the weight coefficients are partially updated at each node during the adaptation. The distributed SPU-APA (dSPU-APA) has low computational complexity feature and close convergence speed to ordinary dAPA. The good performance of dSPU-APA is demonstrated by several computer simulations in distributed network.