A Simulink laboratory package for teaching adaptive filtering concepts

This paper describes a Simulink laboratory package for teaching adaptive filtering concepts. Each lab is designed to convey certain important features of a particular adaptive filter, and to provide comparisons with similar adaptive filtering algorithms. The filters covered include the LMS, nLMS, RLS, and GAL, as well as three members of the Kalman filter family and the particle filter. In addition to learning adaptive filtering concepts, these labs also help to ensure a greater familiarity with Simulink on the part of the student. © 2005 TEMPUS Publications.