Transient Analysis of the Euclidean Direction Search (EDS) Algorithm

Zhongkai Zhang,Bose, T.,Gunther, J.

Signals, Systems and Computers, 2004 Conference Record of the Thirty-Eighth Asilomar Conference（2004）

Center for High-speed Inf. Process.

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摘要

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.

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关键词

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

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