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A novel EMD selecting thresholding method based on multiple iteration for denoising LIDAR signal

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Abstract

Empirical mode decomposition (EMD) approach has been believed to be potentially useful for processing the nonlinear and non-stationary LIDAR signals. To shed further light on its performance, we proposed the EMD selecting thresholding method based on multiple iteration, which essentially acts as a development of EMD interval thresholding (EMD-IT), and randomly alters the samples of noisy parts of all the corrupted intrinsic mode functions to generate a better effect of iteration. Simulations on both synthetic signals and LIDAR signals from real world support this method.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China(U1433202).

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Authors and Affiliations

  1. Civil Aviation Meteorological Institute, Civil Aviation University of China, Tianjin, 300300, China

    Meng Li, Li-hui Jiang & Xing-long Xiong

  2. Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, 300300, China

    Li-hui Jiang

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  1. Meng Li
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  2. Li-hui Jiang
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  3. Xing-long Xiong
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Correspondence to Meng Li.

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Li, M., Jiang, Lh. & Xiong, Xl. A novel EMD selecting thresholding method based on multiple iteration for denoising LIDAR signal. Opt Rev 22, 477–482 (2015). https://doi.org/10.1007/s10043-015-0086-5

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