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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Department of Journal on Communications
2016-10-01
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| シリーズ: | Tongxin xuebao |
| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2016269 |
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