Intelligent learning algorithms for adaptive digital filters

Abstract

It is well known that gradient search fails in adaptive IIR filters, since their mean-square error surfaces may be multimodal. In the letter a new approach based on learning algorithms is shown to be capable of performing global optimisation. The new algorithms are suitable for both adaptive FIR and IIR filters.