A novel EMD selecting thresholding method based on multiple iteration for denoising LIDAR signal
| Autor: | Li-hui Jiang, Xinglong Xiong, Meng Li |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer science
business.industry Noise reduction Mode (statistics) Pattern recognition Interval (mathematics) Computer Science::Numerical Analysis Thresholding Signal Atomic and Molecular Physics and Optics Hilbert–Huang transform Nonlinear system Lidar Computer Science::Systems and Control Artificial intelligence Computer Science::Data Structures and Algorithms business |
| Zdroj: | Optical Review. 22:477-482 |
| ISSN: | 1349-9432 1340-6000 |
| DOI: | 10.1007/s10043-015-0086-5 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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