Adaptive modular Laguerre non-linear model

Abstract

Presents an adaptive nonlinear estimation technique (polynomial model-based) that has guaranteed stability and makes parsimonious use of coefficients, thereby achieving optimal, or close to optimal, performance with reduced computational complexity when compared to the adaptive Volterra filters. Additionally the suggested structure exhibits a high degree of parallelism which makes it suitable for VSLI implementation.<>