Adaptive Sparse Transform for Wireless Sensor Network Data
Aiming at the change of sparse structure introduced by mobility of the wireless sensor network（WSN） nodes and noise in data transmission, an adaptive sparse transform method based on dictionary learning （DL）for WSN data was proposed. The optimum sparse basis can be adaptively constructed according t...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2013-12-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.12.010/ |
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| _version_ | 1841529245260578816 |
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| author | Xuan Chen |
| author_facet | Xuan Chen |
| author_sort | Xuan Chen |
| collection | DOAJ |
| description | Aiming at the change of sparse structure introduced by mobility of the wireless sensor network（WSN） nodes and noise in data transmission, an adaptive sparse transform method based on dictionary learning （DL）for WSN data was proposed. The optimum sparse basis can be adaptively constructed according to the change of sparse structure, and the compressibility of WSN data basis was introduced to DL to satisfy the real time requirement for large-scale data processing. Analysis and experimental results demonstrate that the proposed algorithm can significantly improve the robustness and the real time performance of WSN data sparse transform. |
| format | Article |
| id | doaj-art-3871efeee5444b5aa8873d54b9d61eef |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2013-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-3871efeee5444b5aa8873d54b9d61eef2025-01-15T03:20:58ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-12-0129606459624733Adaptive Sparse Transform for Wireless Sensor Network DataXuan ChenAiming at the change of sparse structure introduced by mobility of the wireless sensor network（WSN） nodes and noise in data transmission, an adaptive sparse transform method based on dictionary learning （DL）for WSN data was proposed. The optimum sparse basis can be adaptively constructed according to the change of sparse structure, and the compressibility of WSN data basis was introduced to DL to satisfy the real time requirement for large-scale data processing. Analysis and experimental results demonstrate that the proposed algorithm can significantly improve the robustness and the real time performance of WSN data sparse transform.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.12.010/compressed sensingdictionary learningwireless sensor networksparse transformcompressibility |
| spellingShingle | Xuan Chen Adaptive Sparse Transform for Wireless Sensor Network Data Dianxin kexue compressed sensing dictionary learning wireless sensor network sparse transform compressibility |
| title | Adaptive Sparse Transform for Wireless Sensor Network Data |
| title_full | Adaptive Sparse Transform for Wireless Sensor Network Data |
| title_fullStr | Adaptive Sparse Transform for Wireless Sensor Network Data |
| title_full_unstemmed | Adaptive Sparse Transform for Wireless Sensor Network Data |
| title_short | Adaptive Sparse Transform for Wireless Sensor Network Data |
| title_sort | adaptive sparse transform for wireless sensor network data |
| topic | compressed sensing dictionary learning wireless sensor network sparse transform compressibility |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.12.010/ |
| work_keys_str_mv | AT xuanchen adaptivesparsetransformforwirelesssensornetworkdata |