任超, 沙磊, 卢献健. 一种改进小波阀值算法的变形监测数据滤波方法[J]. 武汉大学学报 ( 信息科学版), 2012, 37(7): 873-875.
引用本文: 任超, 沙磊, 卢献健. 一种改进小波阀值算法的变形监测数据滤波方法[J]. 武汉大学学报 ( 信息科学版), 2012, 37(7): 873-875.
REN Chao, SHA Lei, LU Xianjian. An Adaptive Wavelet Thresholding De-noising for Deformation Analysis[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 873-875.
Citation: REN Chao, SHA Lei, LU Xianjian. An Adaptive Wavelet Thresholding De-noising for Deformation Analysis[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 873-875.

一种改进小波阀值算法的变形监测数据滤波方法

An Adaptive Wavelet Thresholding De-noising for Deformation Analysis

  • 摘要: 针对变形监测数据的去噪问题,在分析现有阀值确定方法的基础上,提出了一种新的小波阈值算法。实际算例表明,新算法能够有效地克服软阈值法存在的恒定偏差,进一步地提高了消噪的精度和可靠性。

     

    Abstract: A new wavelet thresholoding model is proposed for denoising the deformation data,on the basis of the regular models.In order to verify the correctness and feasibilities of the method,theory analysis and experiments were performed.Results show that the proposed method can achieve higher SNR and smaller RMS.

     

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