| 无线传感网络中大数据量压缩感知编解码算法 |
| Compressed Sensing Codec Algorithm for large data in wireless sensor networks |
| |
| HTML 查看全文 查看/发表评论 下载PDF阅读器 |
| 中文摘要: |
| 针对无线传感网络传输数据的冗余性问题，提出了一种逐级压缩感知编解码算法。该压缩算法将原始信号按照相同或不同字典的稀疏性进行信号逐级分解，并利用伯努利观察矩阵对分解后的信号进行压缩编码，在压缩过程中生成字典掩模。压缩后的信号和掩模回传至终端。终端根据编码信息、稀疏字典、字典掩模对数据进行逐级恢复。该数据压缩方法较传统的编码压缩技术具有更强的鲁棒性，对丢包不敏感；较原压缩感知算法，节省无线网络的传输带宽，提高数据信息获取的实时性。 |
| 英文摘要: |
| Aiming at the redundancy problem in wireless sensor network, a step-by-step compression-aware codec algorithm decomposes the original signal according to the sparsity of the same or different dictionaries, and compresses and encodes the decomposed signal by using the Bernoulli observation matrix to generate a dictionary mask during the compression process. The terminal restores the data step by step according to the coding information, the sparse dictionary and the dictionary mask. This method is more robust than traditional coding compression technology and is not sensitive to packet loss. Compared with the original compressed sensing algorithm, it saves the transmission bandwidth and improves the real-time performance of data information acquisition. |
|
| 中文关键词: 无线传感器网络 压缩感知 编解码 恢复算法 |
| 英文关键词:Wireless sensor networks Compressed sensing Codec Recovery algorithm |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2019.03.05 |
| 引用本文：郄有田1, 宋萍1， 郝创博1,2.无线传感网络中大数据量压缩感知编解码算法[J].计测技术,2019,39(3):. |
| 关闭 |
