DocumentCode :
2207360
Title :
A variable step size algorithm using normalized absolute estimation error
Author :
Kim, Dong-Wook ; Kang, Han-Bit ; Eun, Myoung-Su ; Choi, Jong-Soo
Author_Institution :
Dept. of Electron. Eng., Chungang Univ., Seoul, South Korea
Volume :
2
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
979
Abstract :
Variable step size LMS (VS-LMS) algorithms improve performance of LMS algorithm by means of varying the step size. This paper presents a new VS-LMS algorithm using normalized absolute estimation error. The performance of the proposed algorithm is analyzed theoretically and estimated through simulations. Based on the theoretical analysis and computer simulations, the proposed algorithm is shown to be effective compared to conventional VS-LMS algorithms
Keywords :
adaptive signal processing; convergence of numerical methods; errors; least mean squares methods; LMS algorithm; normalized absolute estimation error; variable step size algorithm; Adaptive filters; Algorithm design and analysis; Computational modeling; Convergence; Estimation error; Estimation theory; Least squares approximation; Performance analysis; Signal processing algorithms; Size control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.510255
Filename :
510255
Link To Document :
بازگشت