Transient analysis of the Euclidean Direction Search (EDS) algorithm

Zhongkai Zhang, Tamal Bose, Jacob Gunther

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Pages1554-1558
Number of pages5
Volume2
Publication statusPublished - 2004
Externally publishedYes
EventConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 7 2004Nov 10 2004

Other

OtherConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/7/0411/10/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zhang, Z., Bose, T., & Gunther, J. (2004). Transient analysis of the Euclidean Direction Search (EDS) algorithm. In M. B. Matthews (Ed.), Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 1554-1558)