On the Convergence Analysis of the Normalized LMS and the Normalized Least Mean M-Estimate Algorithms

Abstract

This paper studies the convergence behaviors of the normalized least mean square (NLMS) and the normalized least mean M-estimate (NLMM) algorithms. Our analysis is obtained by extending the framework of Bershad [6], [7], which were previously reported for the NLMS algorithm with Gaussian inputs. Due to the difficulties in evaluating certain expectations… (More)

Topics

2 Figures and Tables

Slides referencing similar topics