You are not logged in.

A variable step-size transform-domain LMS algorithm based on minimum mean-square deviation for autoregressive process

Zhao, Shengkui, Jones, Douglas L., Man, Zhihong and Khoo, Suiyang 2013, A variable step-size transform-domain LMS algorithm based on minimum mean-square deviation for autoregressive process, in ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 968-971, doi: 10.1109/ICIEA.2013.6566507.

Attached Files
Name Description MIMEType Size Downloads

Title A variable step-size transform-domain LMS algorithm based on minimum mean-square deviation for autoregressive process
Author(s) Zhao, Shengkui
Jones, Douglas L.
Man, Zhihong
Khoo, Suiyang
Conference name IEEE Industrial Electronics and Applications. Conference (8th : 2013 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 19-21 Jun. 2013
Title of proceedings ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE Conference on Industrial Electronics and Applications
Start page 968
End page 971
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 1467363227
9781467363228
Language eng
DOI 10.1109/ICIEA.2013.6566507
Field of Research 090609 Signal Processing
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057160

Document type: Conference Paper
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 196 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 23 Oct 2013, 10:02:02 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.