Enhancement of lidar backscatters signal-to-noise ratio using empirical mode decomposition method

Songhua Wu; Zhishen Liu; Bingyi Liu

doi:10.1016/j.optcom.2006.05.069

Enhancement of lidar backscatters signal-to-noise ratio using empirical mode decomposition method

Optics Communications ◽

10.1016/j.optcom.2006.05.069 ◽

2006 ◽

Vol 267 (1) ◽

pp. 137-144 ◽

Cited By ~ 45

Author(s):

Songhua Wu ◽

Zhishen Liu ◽

Bingyi Liu

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method ◽

Noise Ratio

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Signal-to-Noise Ratio Enhancement Based on Empirical Mode Decomposition in Phase-Sensitive Optical Time Domain Reflectometry Systems

Sensors ◽

10.3390/s17081870 ◽

2017 ◽

Vol 17 (8) ◽

pp. 1870 ◽

Cited By ~ 11

Author(s):

◽

Keyword(s):

Empirical Mode Decomposition ◽

Time Domain ◽

Signal To Noise Ratio ◽

Time Domain Reflectometry ◽

Signal To Noise ◽

Mode Decomposition ◽

Optical Time Domain Reflectometry ◽

Phase Sensitive ◽

Noise Ratio ◽

Optical Time

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Echocardiography frames quantification by empirical mode decomposition method

2014 21th Iranian Conference on Biomedical Engineering (ICBME) ◽

10.1109/icbme.2014.7043921 ◽

2014 ◽

Author(s):

Hesam Aliniazare ◽

Hamid Behnam ◽

Emad Fatemizadeh ◽

Zahra Alizadeh Sani

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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Separation and compensation of geometric errors of rotary axis in 5-axis ultra-precision machine tool by empirical mode decomposition method

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2021.06.057 ◽

2021 ◽

Vol 68 ◽

pp. 1509-1523

Author(s):

Qidi Chen ◽

Wei Li ◽

Chao Jiang ◽

Zhixiong Zhou ◽

Sangkee Min

Keyword(s):

Machine Tool ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Geometric Errors ◽

Rotary Axis ◽

Precision Machine ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method ◽

Ultra Precision

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Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2011.03.002 ◽

2011 ◽

Vol 25 (7) ◽

pp. 2631-2653 ◽

Cited By ~ 105

Author(s):

Matej Žvokelj ◽

Samo Zupan ◽

Ivan Prebil

Keyword(s):

Principal Component Analysis ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Principal Component ◽

Component Analysis ◽

Ensemble Empirical Mode Decomposition ◽

Kernel Principal Component Analysis ◽

Signal Denoising ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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Iris recognition with an improved empirical mode decomposition method

Optical Engineering ◽

10.1117/1.3122322 ◽

2009 ◽

Vol 48 (4) ◽

pp. 047007 ◽

Cited By ~ 6

Author(s):

Ming-Yu Huang

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

Iris Recognition ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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A Development for Channel Loss Prediction Based on Empirical Mode Decomposition Method and 2X-thru De-embedding in High-Speed PCB System

2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI) ◽

10.1109/emcsi38923.2020.9191613 ◽

2020 ◽

Author(s):

Kuan-Wei Chen ◽

Yi-Tang Chen ◽

Chi-Hsiang Hung ◽

Sheng-Chieh Lin

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

High Speed ◽

Mode Decomposition ◽

Loss Prediction ◽

Empirical Mode Decomposition Method ◽

Channel Loss

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Application of Extension Neural Network Algorithm and Empirical Mode Decomposition Method to Partial Discharge Diagnosis of Power Capacitors

Sensors and Materials ◽

10.18494/sam.2019.2380 ◽

2019 ◽

Vol 31 (12) ◽

pp. 3959 ◽

Cited By ~ 1

Author(s):

Meng-Hui Wang ◽

Shiue-Der Lu ◽

Kun-De Lin ◽

Chian-Yi Pan

Keyword(s):

Neural Network ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Partial Discharge ◽

Discharge Diagnosis ◽

Network Algorithm ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method ◽

Neural Network Algorithm

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Multiple Scenarios Simulation of Global Ecological Footprint Based on Empirical Mode Decomposition Method

Open Journal of Ecology ◽

10.4236/oje.2019.911033 ◽

2019 ◽

Vol 09 (11) ◽

pp. 506-520

Author(s):

Longhui Xiang ◽

Chengzhong Chen

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

Ecological Footprint ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method ◽

Scenarios Simulation ◽

Multiple Scenarios

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The application of ensemble empirical mode decomposition method in multiscale analysis of region precipitation and its response to the climate change

Acta Physica Sinica ◽

10.7498/aps.62.109203 ◽

2013 ◽

Vol 62 (10) ◽

pp. 109203

Author(s):

Xue Chun-Fang ◽

Hou Wei ◽

Zhao Jun-Hu ◽

Wang Shi-Gong

Keyword(s):

Climate Change ◽

Empirical Mode Decomposition ◽

Multiscale Analysis ◽

Decomposition Method ◽

Ensemble Empirical Mode Decomposition ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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Aurora image denoising with a modified bidimensional empirical mode decomposition method

IEEE SoutheastCon 2008 ◽

10.1109/secon.2008.4494351 ◽

2008 ◽

Cited By ~ 1

Author(s):

Sharif M. A. Bhuiyan ◽

Reza R. Adhami ◽

Heggere S. Ranganath ◽

Jesmin F. Khan

Keyword(s):

Image Denoising ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method ◽

Bidimensional Empirical Mode Decomposition

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