Title :
Performance of LMS-based adaptive filters in tracking a time-varying plant
Author :
Farhang-Boroujeny, B. ; Gazor, S.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
11/1/1996 12:00:00 AM
Abstract :
The article gives a general analysis of the LMS-based adaptive filters when used for tracking a class of time varying plants. The algorithms covered are the conventional LMS, the transform-domain normalized LMS, and the LMS/Newton algorithm. An important fact that we observe is that in comparing these algorithms, better initial convergence does not necessarily mean better tracking. A few special cases are presented that show the contrary
Keywords :
Newton method; adaptive filters; convergence of numerical methods; filtering theory; least mean squares methods; time-varying systems; tracking filters; transforms; LMS algorithm; LMS based adaptive filters; LMS/Newton algorithm; convergence; filter performance; time-varying plant tracking; transform-domain normalized LMS algorithm; transversal filter; Adaptive filters; Adaptive signal processing; Circuits; Finite impulse response filter; Frequency domain analysis; Karhunen-Loeve transforms; Least squares approximation; Signal processing algorithms; Speech processing; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on
