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Content Provider | IEEE Xplore Digital Library |
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Author | Arablouei, R. Werner, S. Dogancay, K. |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland (Werner, S.) || Sch. of Eng., Univ. of South Australia, Mawson Lakes, SA, Australia (Arablouei, R.; Dogancay, K.) |
Abstract | In the diffusion strategies for distributed estimation over adaptive networks, each node calculates a weighted average of the intermediate parameter estimates of its neighboring nodes. Thus, all the nodes should continuously share their intermediate estimates with their neighbors. In this paper, we consider exchanging a predetermined number of elements of each intermediate estimate vector at each iteration rather than the entire vectors. We examine two different schemes, i.e., stochastic and sequential partial-diffusion schemes, for selecting the to-be-diffused elements at each iteration. Accordingly, we propose a partial-diffusion recursive least-squares (PDRLS) algorithm that can alleviate internode communications at the expense of estimation performance. Simulation results show that the communication-performance trade-off offered by the proposed algorithm is indeed lucrative. |
Sponsorship | IEEE Signal Process. Soc. |
Starting Page | 89 |
Ending Page | 92 |
File Size | 775703 |
Page Count | 4 |
File Format | |
e-ISBN | 9781467331463 |
DOI | 10.1109/CAMSAP.2013.6714014 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-15 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | distributed estimation Adaptive systems Conferences adaptive networks Estimation Signal processing algorithms Educational institutions Vectors recursive least-squares Optimization diffusion adaptation partial diffusion |
Content Type | Text |
Resource Type | Article |
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