Robust Estimation in Distributed Wireless Sensor Network

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2414

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DC Field	Value	Language
dc.contributor.author	Kumar, S	-
dc.contributor.author	Sahoo, A K	-
dc.contributor.author	Acharya, D P	-
dc.date.accessioned	2015-12-30T10:29:34Z	-
dc.date.available	2015-12-30T10:29:34Z	-
dc.date.issued	2015-12	-
dc.identifier.citation	12th Annual IEEE India Conference (INDICON 2015), Jamia Nagar, New Delhi, 17-20 Dec 2015	en_US
dc.identifier.uri	http://hdl.handle.net/2080/2414	-
dc.description	Copyright for this paper belongs to proceeding publisher	en_US
dc.description.abstract	Practical environment is always endowed with high impulsive noise in addition to Gaussian noise. Traditional methods like least square method are very limited in their performance for estimating the parameter of interest. To address such problem a robust distributed block diffusion Huber algorithm is proposed in this paper.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Diffusion strategy	en_US
dc.subject	Sensor network	en_US
dc.subject	Huber loss function	en_US
dc.title	Robust Estimation in Distributed Wireless Sensor Network	en_US
dc.type	Article	en_US
Appears in Collections:	Conference Papers

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