DocumentCode :
826162
Title :
Computing Nonlinear 
-Estimation Based on Dynamic Differential Evolution Strategy
Author :
Yang, Biao ; Zhang, Zengke ; Sun, Zhengshun
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
Volume :
13
Issue :
12
fYear :
2006
Firstpage :
756
Lastpage :
759
Abstract :
A novel algorithm named NTDDE to compute the nonlinear tau-estimation based on the dynamic differential evolution strategy is proposed in this letter. We construct a new updating stage for this dynamic differential evolution strategy to generate a population with better performance than before. The experimental evidence has been gathered to show that the proposed algorithm is capable of computing the nonlinear tau-estimation efficiently
Keywords :
nonlinear estimation; signal processing; NTDDE; dynamic differential evolution strategy; nonlinear tau-estimation computation; Automation; Convergence; Electric breakdown; Gaussian distribution; Pediatrics; Random variables; Research and development; Dynamic differential evolution (DyDE); nonlinear $tau$
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2006.879819
Filename :
4014231
Link To Document :
