An improved stochastic model for the least mean fourth (LMF) adaptive algorithm

Abstract

This paper presents a new statistical analysis of the least mean fourth (LMF) adaptive algorithm behavior. Nonlinear recursive equations are derived which predict the behavior of the first and second order moments of the adaptive weights for Gaussian inputs. These recursions can be used to predict the mean square error (MSE) behavior. The new model improves… (More)
DOI: 10.1109/ISCAS.2002.1009768

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