Implementation of GPR Signals De-Noising Based on DSP

作     者：CHEN Xiao-li TIAN Mao ZHOU Hui-lin 

作者机构：School of Electronic Information Wuhan University Wuhan 430072 Hubei China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2005年第10卷第6期

页      面：1005-1008页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：Supported by the National Natural Science Founda-tion of China (49984001) 

主　　题：wavelet shrinkage de-noising GPR digital signal processor real time soft thresholding SNR 

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.