Output details

Distributed estimation over an adaptive incremental network based on the affine projection algorithm

This work was undertaken with Prof Ali Sayed, FIEEE, from the University of Southern California, Los Angeles, the foremost authority in adaptive signal processing, and presents the design, analysis and evaluation of a fundamentally new approach to distributed adaptive learning which is already having much impact in terms of providing a platform for other international researchers to advance the field and provide new algorithmic solutions for learning in multi-sensor applications as can be confirmed by Prof John Matthews, FIEEE, University of Utah, and Prof Tariq Durrani CBE, FREng, FIEEE, Strathclyde University, one of the UK's leading authorities in the area.