NDLI: Exploiting observation quality information to enhance the steady-state performance of incremental LMS adaptive networks

Content Provider	IEEE Xplore Digital Library
Author	Rastegarnia, Amir Tinati, Mohammad Ali Khalili, Azam
Copyright Year	2011
Description	Author affiliation: Faculty of Electrical and Computer Engineering, University of Tabriz (Rastegarnia, Amir; Tinati, Mohammad Ali; Khalili, Azam) In this paper, we investigate the effect of observation quality on the steady-state performance of incremental adaptive networks with LMS learning. We exploit the knowledge of observation quality to adjust the step-size parameter in an adaptive network according to nodes observation quality. We formulate the step-size assignment as a constrained optimization problem and then solve it via Lagrange multipliers approach. We show that applying the optimal step sizes in an incremental adaptive network improves its the steady-state performance. The simulation results are also presented to illustrate the derived theoretical results.
Starting Page	1
Ending Page	5
File Size	669190
Page Count	5
File Format	PDF
ISBN	9781457707308
e-ISBN	9789644634284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-17
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	AmirKabir Univ of Tech
Subject Keyword	Adaptive systems Least mean-square (LMS) Estimation Optimized production technology Signal processing algorithms Signal processing Distributed estimation Steady-state Adaptive estimation Least squares approximation DILMS
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Exploiting observation quality information to enhance the steady-state performance of incremental LMS adaptive networks