Distributed evolutionary digital filters for IIR adaptive digital filters

This paper proposes distributed evolutionary digital filters (EDFs) as an i mproved version of the original EDF. The EDF is an adaptive digital filter which is controlled by adaptive algorithm based on evolutionary computation . In the proposed met bod. a large population of the original EDF is divide d into smaller subpopulations. Each sub-EDF has one subpopulation and execu tes the small-sized main loop of the original EDF. In addition. the distrib uted algorithm periodically selects promising individuals from each subpopu lation. Then, they migrate to different subpopulations. Numerical examples show that the distributed EDF has a higher convergence rate and smaller ste ady-state value of the square error than the LMS adaptive digital filter, t he adaptive digital filter based on the simple genetic algorithm and the or iginal EDF.