DocumentCode :
3338847
Title :
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
Link To Document :
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