| Implementation of GPR Signals De-Noising Based on DSP |
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| 作者姓名： | CHEN Xiao-li TIAN Mao ZHOU Hui-lin |
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| 作者单位： | School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （49984001） |
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| 摘 要： | An important issue of ground-penetrating radar （GPR） signals analysis is de-noising thai is the guarantee of acquiring good detecting effect. The paper illustrates a successful application of digital single processor （DSP） based on wavelet shrinkage algorithm. In order to realize real-time GPP, signals analysis, some key issues are discussed such as the realization of fast wavelet transformation, the selection of CPU chip and the optimization of data movement. Experimenial results show that the DSP based application not only basically meets the real-time requirement of GPP, signals analysis, but also assures the quality of the GPR signals analysis.
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| 关 键 词： | GPR 信号分析 数字信号处理 DSP 小波收缩算法 |
| 文章编号： | 1007-1202（2005）06-1005-04 |
| 收稿时间： | 2005-01-10 |
Implementation of GPR signals de-noising based on DSP |
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| CHEN Xiao-li TIAN Mao ZHOU Hui-lin.Implementation of GPR Signals De-Noising Based on DSP[J].Wuhan University Journal of Natural Sciences,2005,10(6):1005-1008. |
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| Authors: | Chen Xiao-li Tian Mao Zhou Hui-lin |
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| Institution: | (1) School of Electronic Information, Wuhan University, 130072 Wuhan, Hubei, China |
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| Abstract: | An important issue of ground-penetrating radar (GPR) signals analysis is de-noising that is the guarantee of acquiring good detecting effect. The paper illustrates a successful application of digital single processor (DSP) based on wavelet shrinkage algorithm. In order to realize real-time GPR signals analysis, some key issues are discussed such as the realization of fast wavelet transformation, the selection of CPU chip and the optimization of data movement. Experimental results show that the DSP based application not only basically meets the real-time requirement of GPR signals analysis, but also assures the quality of the GPR signals analysis. |
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| Keywords: | wavelet shrinkage de-noising GPR digital signal processor real time soft thresholding SNR |
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