The Experts below are selected from a list of 20091 Experts worldwide ranked by ideXlab platform
Hongwei Wang - One of the best experts on this subject based on the ideXlab platform.
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improvement of the Signal to noise ratio of lidar Echo Signal based on wavelet de noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:Abstract According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system.
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Improvement of the Signal to noise ratio of Lidar Echo Signal based on wavelet de-noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Dengxin Hua, Qing Yan, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system. © 2013 Elsevier Ltd. All rights reserved.
Zhirong Zhou - One of the best experts on this subject based on the ideXlab platform.
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improvement of the Signal to noise ratio of lidar Echo Signal based on wavelet de noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:Abstract According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system.
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Improvement of the Signal to noise ratio of Lidar Echo Signal based on wavelet de-noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Dengxin Hua, Qing Yan, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system. © 2013 Elsevier Ltd. All rights reserved.
Yufeng Wang - One of the best experts on this subject based on the ideXlab platform.
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improvement of the Signal to noise ratio of lidar Echo Signal based on wavelet de noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:Abstract According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system.
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Improvement of the Signal to noise ratio of Lidar Echo Signal based on wavelet de-noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Dengxin Hua, Qing Yan, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system. © 2013 Elsevier Ltd. All rights reserved.
Shichun Li - One of the best experts on this subject based on the ideXlab platform.
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improvement of the Signal to noise ratio of lidar Echo Signal based on wavelet de noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:Abstract According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system.
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Improvement of the Signal to noise ratio of Lidar Echo Signal based on wavelet de-noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Dengxin Hua, Qing Yan, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system. © 2013 Elsevier Ltd. All rights reserved.
Yan Li - One of the best experts on this subject based on the ideXlab platform.
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improvement of the Signal to noise ratio of lidar Echo Signal based on wavelet de noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:Abstract According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system.
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Improvement of the Signal to noise ratio of Lidar Echo Signal based on wavelet de-noising technique
Optics and Lasers in Engineering, 2013Co-Authors: Zhirong Zhou, Dengxin Hua, Qing Yan, Shichun Li, Yufeng Wang, Yan Li, Hongwei WangAbstract:According to the characteristics of a Lidar Echo Signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar Echo Signal noise and improve the Signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy Signals. Some preliminary simulations are carried out to reduce the noise of the simulated Signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar Echo Signals contaminated by noise in the strong background light, the de-noising range-square-corrected Signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar Signals in strong background light and achieve improvement in the Signal to noise ratio of system. © 2013 Elsevier Ltd. All rights reserved.
