Improving the Signal-to-Noise Ratio on Terahertz Compressive Imaging
文献类型：会议论文
| 作者 | Xing, Chungui2; Qi F(祁峰)1 ; Guo SX(郭树旭)2
|
| 出版日期 | 2020 |
| 会议日期 | December 13-16, 2020 |
| 会议地点 | Fuzhou, Fujian, China |
| 关键词 | Terahertz imaging compressive sensing signal-tonoise ratio improvement |
| 页码 | 1-3 |
| 英文摘要 | we present a compact terahertz compressive imaging utilizing the vector network analyzer base on the compressive sensing technology. To eliminate the noise from the terahertz imaging system and improve the signal-to-noise ratio of the reconstructed image, we propose a novel compressive sensing methodology, in which the Paley-Hadamard sensing matrix and normalization measurement data algorithm are introduced. From the numerical and experimental results, the anti-noise performance of the proposed methodology is superior to the conventional compressive technology. |
| 产权排序 | 2 |
| 会议录 | 2020 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2020 - Proceedings
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-8181-3 |
| 源URL | [http://ir.sia.cn/handle/173321/30790]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Qi F(祁峰); Guo SX(郭树旭) |
| 作者单位 | 1.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, China 2.College of Electronic Science and Engineering, Jilin University, Changchun, China |
| 推荐引用方式 GB/T 7714 | Xing, Chungui,Qi F,Guo SX. Improving the Signal-to-Noise Ratio on Terahertz Compressive Imaging[C]. 见:. Fuzhou, Fujian, China. December 13-16, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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