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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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016269/ |
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| _version_ | 1841539547735785472 |
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| author | Yi-yin LIU Guo-rui LI Li TIAN |
| author_facet | Yi-yin LIU Guo-rui LI Li TIAN |
| author_sort | Yi-yin LIU |
| collection | DOAJ |
| description | 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 based on joint sparse model and com-pressed sensing theory was proposed.By utilizing the sparsity of the sensed data,it selected the correct joint subspace and reconstruct the original signal group accurately with fewer observations in a backtracking iterative manner.Com-pared with SCoSaMP algorithm and SP algorithm,the proposed algorithm presents better data reconstruction perform-ance under the conditions of different sparsity and sampling rate. |
| format | Article |
| id | doaj-art-f9781d6aedfa44e8bd20742709d0e16d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f9781d6aedfa44e8bd20742709d0e16d2025-01-14T07:11:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-013721121859706355Joint sparse model based data reconstruction algorithm for wireless sensor networkYi-yin LIUGuo-rui LILi TIANThe 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 based on joint sparse model and com-pressed sensing theory was proposed.By utilizing the sparsity of the sensed data,it selected the correct joint subspace and reconstruct the original signal group accurately with fewer observations in a backtracking iterative manner.Com-pared with SCoSaMP algorithm and SP algorithm,the proposed algorithm presents better data reconstruction perform-ance under the conditions of different sparsity and sampling rate.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016269/wireless sensor networkcompressive sensingjoint sparse modeldata reconstruction |
| spellingShingle | Yi-yin LIU Guo-rui LI Li TIAN Joint sparse model based data reconstruction algorithm for wireless sensor network Tongxin xuebao wireless sensor network compressive sensing joint sparse model data reconstruction |
| title | Joint sparse model based data reconstruction algorithm for wireless sensor network |
| title_full | Joint sparse model based data reconstruction algorithm for wireless sensor network |
| title_fullStr | Joint sparse model based data reconstruction algorithm for wireless sensor network |
| title_full_unstemmed | Joint sparse model based data reconstruction algorithm for wireless sensor network |
| title_short | Joint sparse model based data reconstruction algorithm for wireless sensor network |
| title_sort | joint sparse model based data reconstruction algorithm for wireless sensor network |
| topic | wireless sensor network compressive sensing joint sparse model data reconstruction |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016269/ |
| work_keys_str_mv | AT yiyinliu jointsparsemodelbaseddatareconstructionalgorithmforwirelesssensornetwork AT guoruili jointsparsemodelbaseddatareconstructionalgorithmforwirelesssensornetwork AT litian jointsparsemodelbaseddatareconstructionalgorithmforwirelesssensornetwork |