Evaluation and design of variable step size adaptive algorithms

Author

Lopes, Cássio Guimarães ; Bermudez, José Carlos Moreira

Author_Institution

Dept. of Electr. Eng., Univ. Federal de Santa Catarina, Florianapolis, Brazil

Volume

6

fYear

2001

fDate

2001

Firstpage

3845

Abstract

This paper presents a new methodology for evaluation and design of variable step size adaptive algorithms. The new methodology is based on a learning plane, which combines the evolutions of both the step size and the mean square error. It includes both transient and steady-state behaviors and can be used to compare performances of different algorithms against an optimum trajectory in the learning plane. The new technique can also be used for algorithm optimization in system identification applications

Keywords

adaptive signal processing; identification; mean square error methods; optimisation; transient analysis; adaptive algorithms; algorithm optimization; learning plane; mean square error; optimum trajectory; performance; steady-state behavior; system identification; transient behavior; variable step size algorithms; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Cost function; Equations; Gaussian noise; Mean square error methods; Size control; Steady-state; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940682

Filename

940682