Transient analysis of the Euclidean Direction Search (EDS) algorithm

Zhongkai Zhang; Tamal Bose; Jacob Gunther

Transient analysis of the Euclidean Direction Search (EDS) algorithm

Zhongkai Zhang, Tamal Bose, Jacob Gunther

Research output: Contribution to journal › Conference article › peer-review

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 language	English (US)
Pages (from-to)	1554-1558
Number of pages	5
Journal	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2
State	Published - Dec 1 2004
Externally published	Yes
Event	Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 7 2004 → Nov 10 2004

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Fingerprint Dive into the research topics of 'Transient analysis of the Euclidean Direction Search (EDS) algorithm'. Together they form a unique fingerprint.

Cite this

@article{7457939415b04c88a1e51ca1543947a8,

title = "Transient analysis of the Euclidean Direction Search (EDS) algorithm",

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.",

author = "Zhongkai Zhang and Tamal Bose and Jacob Gunther",

year = "2004",

month = dec,

day = "1",

language = "English (US)",

volume = "2",

pages = "1554--1558",

journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",

issn = "1058-6393",

publisher = "IEEE Computer Society",

note = "Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers ; Conference date: 07-11-2004 Through 10-11-2004",

}

TY - JOUR

T1 - Transient analysis of the Euclidean Direction Search (EDS) algorithm

AU - Zhang, Zhongkai

AU - Bose, Tamal

AU - Gunther, Jacob

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=21644436367&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21644436367&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:21644436367

VL - 2

SP - 1554

EP - 1558

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

SN - 1058-6393

T2 - Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers

Y2 - 7 November 2004 through 10 November 2004

ER -

Transient analysis of the Euclidean Direction Search (EDS) algorithm

Abstract

ASJC Scopus subject areas

Other files and links

Cite this