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AN APPLICATION OF THE EFFECT OF GPR DATA PROCESSING IN HIGH-ORDER STATISTICS |
XIE Shang-ping1, ZHANG Kuo2 |
1. East China Institute of Technology, Fuzhou 344000, China;
2. Institute of Engineering and Exploration of Nuclear Industry, Zhengzhou 450002, China |
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Abstract This paper introduces a method for studying the effect based on high-order statistics of GPR data. The basic idea of this method is the utilization of high-order statistical parameters in signal recognition and detection for processing and reconstruction of different models for GPR records. The model test shows that there are different high-order statistical features in different models, and the high-order statistics show obvious effect on suppressing background noise and multiple reflection of GPR data.
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Received: 22 November 2010
Published: 15 February 2012
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