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
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;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399416
