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Joint sparse model based data reconstruction algorithm for wireless sensor network

The data of wireless sensor network has strong joint sparse characteristics,by utilizing compressed sensing theory,compressed data by joint encoding,and then reconstructed the data by joint decoding,the sensed data can be gathered with low computational cost.A synchronous subspace pursuit algorithm...

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Bibliografische gegevens
Hoofdauteurs: Yi-yin LIU, Guo-rui LI, Li TIAN
Formaat: Artigo
Taal:Chinês
Gepubliceerd in: Editorial Department of Journal on Communications 2016-10-01
Reeks:Tongxin xuebao
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Online toegang:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2016269
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