Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data

L Li; Y Zhang; JA Chambers; AH Sayed

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Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data

L Li, Y Zhang, JA Chambers and AH Sayed

ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS, pp.227-230

9th International Conference on Signal Processing (Beijing, PEOPLES R CHINA, 26/10/2008 - 29/10/2008)

01/01/2008

Abstract

Science & Technology

Technology

Engineering

Electrical & Electronic

Engineering

Adaptive filters

distributed estimation

energy conservation

incremental algorithm

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Title: Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data
Creators: L Li
Y Zhang
JA Chambers
AH Sayed
Contributors: BZ Yuan
QQ Ruan
XF Tang
IEEE (Publisher)
Publication Details: ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS, pp.227-230
Conference: 9th International Conference on Signal Processing (Beijing, PEOPLES R CHINA, 26/10/2008 - 29/10/2008)
Date published: 01/01/2008
Date submitted: 17/05/2017
Identifiers: 99512117602346
Academic Unit: University of Surrey
Resource Type: Conference presentation

Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data

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