DocumentCode
2651233
Title
Transient analysis of the Euclidean direction search (EDS) algorithm
Author
Zhang, Zhongkai ; Bose, Tamal ; Gunther, Jacob
Author_Institution
Center for High-speed Inf. Process., Utah State Univ., Logan, UT, USA
Volume
2
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
1554
Abstract
In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean direction search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.
Keywords
adaptive filters; learning (artificial intelligence); least squares approximations; search problems; transient analysis; Euclidean direction search algorithm; adaptive filters; energy conservation; learning curve equation; learning mechanism; least squares based adaptive algorithm; transient analysis; weight vector; Adaptive algorithm; Adaptive filters; Computational complexity; Convergence; Energy conservation; Equations; Least squares approximation; Least squares methods; Resonance light scattering; Transient analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399416
Filename
1399416
Link To Document