Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/714
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Chen, H | - |
dc.creator | Tse, CKM | - |
dc.creator | Feng, J | - |
dc.date.accessioned | 2014-12-11T08:24:56Z | - |
dc.date.available | 2014-12-11T08:24:56Z | - |
dc.identifier.issn | 1549-7747 | - |
dc.identifier.uri | http://hdl.handle.net/10397/714 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_US |
dc.rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holders. | en_US |
dc.subject | Blind source extraction | en_US |
dc.subject | Distributed estimation | en_US |
dc.subject | Wireless sensor network | en_US |
dc.title | Source extraction in bandwidth constrained wireless sensor networks | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Author name used in this publication: Chi K. Tse | en_US |
dc.identifier.spage | 947 | - |
dc.identifier.epage | 951 | - |
dc.identifier.volume | 55 | - |
dc.identifier.issue | 9 | - |
dc.identifier.doi | 10.1109/TCSII.2008.924373 | - |
dcterms.abstract | Source extraction was traditionally done by sensor arrays. Recently, sensor networks have been considered as promising candidates for extraction of multiple sources. In a sensor network, each sensor observes an instantaneous linear mixture of the sources and their observations are corrupted by additive white Gaussian noise. Two sensor network models are adopted. The first one is cluster based, in which a sensor acts as cluster head and performs local extraction of the sources based on its own observation and the received quantized data from the cluster members. Then, the extracted signal is quantized and the quantized data are sent to the sink while the sink performs global extraction of the sources. The other one is cluster free, in which data collected by the sensors are quantized and sent to the sink directly. Then, the sink performs global extraction of the sources. The proposed schemes are evaluated against the benchmarking case where the sensor observations are undistorted. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on circuits and systems. II, Express briefs, Sept. 2008, v. 55, no. 9, p. 947-951 | - |
dcterms.isPartOf | IEEE transactions on circuits and systems. II, Express briefs | - |
dcterms.issued | 2008-09 | - |
dc.identifier.isi | WOS:000258950800024 | - |
dc.identifier.scopus | 2-s2.0-51649084211 | - |
dc.identifier.eissn | 1558-3791 | - |
dc.identifier.rosgroupid | r44393 | - |
dc.description.ros | 2008-2009 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | VoR allowed | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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source-extraction_08.pdf | 223.7 kB | Adobe PDF | View/Open |
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