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Keywords: Spline adaptive filter Nonlinear adaptive filter Least mean square Hammerstein system identification Excess mean square error a b s t r a c t In this paper a novel class of nonlinear Hammerstein adaptive filters, consisting of a flexible memory-less function followed by a linear combiner, is presented. The nonlinear function involved in the adaptation process is based on a uniform cubic spline function that can be properly modified during learning. The spline control points aredoi:10.1016/j.sigpro.2014.01.019 fatcat:564qxtzlq5hafcqkaxmsle43vm