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《Chinese Journal of Lasers》 2014-10
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An Empirical Mode Decomposition Algorithm Based on Cross Validation and Its Application to Lidar Return Signal De-Noising

Wang Huanxue;Liu Jianguo;Zhang Tianshu;Dong Yunsheng;Key Laboratory of Environment Optics and Technology,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;  
Noise reduction method of lidar atmospheric backscattering signal based on empirical mode decomposition(EMD)is developed by Cross-Validation.Considering characteristics of lidar return signal noise and defects of traditional de-noising algorithm,Cross-Validation is applied to identify signal layers and noise layers automatically,and then separate signal and noise by EMD reconstruction.With experiments,the method can select the signal in the instrinsic mode function adaptively,not only removes the random error,but also maintains the effective characteristics of the signal,reduces the loss of signal,and then improve the accuracy in the next phase of data processing.
【Fund】: 国家自然科学基金(41205119);; 中国科学院战略性先导科技专项(XDB05040300)
【CateGory Index】: TN957.51
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