Adaptive denoising of IR-UWB signal based on empirical mode decomposition

Mapping Intimacies ◽

10.1049/cp.2009.0183 ◽

2009 ◽

Author(s):

Zhan Xu ◽

Jian-ping An ◽

Zhao-hui Liu ◽

Yang Kai

Keyword(s):

Empirical Mode Decomposition ◽

Mode Decomposition ◽

Adaptive Denoising

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Fully Adaptive Denoising of ECG Signals Using Empirical Mode Decomposition with the Modified Indirect Subtraction and the Adaptive Window Techniques

Circuits Systems and Signal Processing ◽

10.1007/s00034-020-01350-9 ◽

2020 ◽

Vol 39 (8) ◽

pp. 4021-4046

Author(s):

Roohangiz Abdollahpoor ◽

Nasser Lotfivand

Keyword(s):

Empirical Mode Decomposition ◽

Ecg Signals ◽

Adaptive Window ◽

Mode Decomposition ◽

Fully Adaptive ◽

Adaptive Denoising

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An Adaptive Denoising Algorithm for Chaotic Signals Based on Improved Empirical Mode Decomposition

Circuits Systems and Signal Processing ◽

10.1007/s00034-018-0973-7 ◽

2018 ◽

Vol 38 (6) ◽

pp. 2471-2488 ◽

Author(s):

Mengjiao Wang ◽

Zequan Zhou ◽

Zhijun Li ◽

Yicheng Zeng

Keyword(s):

Empirical Mode Decomposition ◽

Mode Decomposition ◽

Chaotic Signals ◽

Adaptive Denoising

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Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns

Optics Letters ◽

10.1364/ol.37.001904 ◽

2012 ◽

Vol 37 (11) ◽

pp. 1904 ◽

Author(s):

Xiang Zhou ◽

Tao Yang ◽

Haihua Zou ◽

Hong Zhao

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Approach ◽

Multivariate Empirical Mode Decomposition ◽

Mode Decomposition ◽

Fringe Patterns ◽

Adaptive Denoising

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An adaptive denoising algorithm for chaotic signals based on complete ensemble empirical mode decomposition

International Journal of Information and Communication Technology ◽

10.1504/ijict.2017.10008319 ◽

2017 ◽

Vol 11 (4) ◽

pp. 564 ◽

Author(s):

Weiyu Yu ◽

Mengjiao Wang ◽

Jiuchao Feng

Keyword(s):

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Mode Decomposition ◽

Chaotic Signals ◽

Adaptive Denoising

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A new adaptive denoising method based on empirical mode decomposition in ultrasonic elastography

2011 International Conference on Multimedia Technology ◽

10.1109/icmt.2011.6001652 ◽

2011 ◽

Author(s):

Guang Qiu ◽

Jieping Liu ◽

Tao Ling ◽

Hairong Zheng

Keyword(s):

Empirical Mode Decomposition ◽

Denoising Method ◽

Mode Decomposition ◽

Adaptive Denoising

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Adaptive denoising algorithm using peak statistics-based thresholding and novel adaptive complementary ensemble empirical mode decomposition

Information Sciences ◽

10.1016/j.ins.2021.02.040 ◽

2021 ◽

Vol 563 ◽

pp. 269-289

Author(s):

Mengfei Hu ◽

Shuqing Zhang ◽

Wei Dong ◽

Fengjiao Xu ◽

Haitao Liu

Keyword(s):

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Mode Decomposition ◽

Adaptive Denoising

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An adaptive denoising fault feature extraction method based on ensemble empirical mode decomposition and the correlation coefficient

Advances in Mechanical Engineering ◽

10.1177/1687814017696448 ◽

2017 ◽

Vol 9 (4) ◽

pp. 168781401769644 ◽

Author(s):

Huixiang Yang ◽

Tengfei Ning ◽

Bangcheng Zhang ◽

Xiaojing Yin ◽

Zhi Gao

Keyword(s):

Feature Extraction ◽

Correlation Coefficient ◽

Empirical Mode Decomposition ◽

Extraction Method ◽

Ensemble Empirical Mode Decomposition ◽

Feature Extraction Method ◽

Mode Decomposition ◽

Fault Feature Extraction ◽

Adaptive Denoising

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An adaptive denoising algorithm for chaotic signals based on complete ensemble empirical mode decomposition

International Journal of Information and Communication Technology ◽

10.1504/ijict.2017.087461 ◽

2017 ◽

Vol 11 (4) ◽

pp. 564

Author(s):

Mengjiao Wang ◽

Weiyu Yu ◽

Jiuchao Feng

Keyword(s):

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Mode Decomposition ◽

Chaotic Signals ◽

Adaptive Denoising

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Motor Imagery EEG Recognition Based on Scheduled Empirical Mode Decomposition and Adaptive Denoising Autoencoders

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327855 ◽

2020 ◽

Author(s):

Tao Xie ◽

Weichang Ma ◽

Xingchen Li ◽

Wei Li ◽

Bohui Hao ◽

...

Keyword(s):

Empirical Mode Decomposition ◽

Motor Imagery ◽

Mode Decomposition ◽

Adaptive Denoising

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Speech Analysis Method Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e99.a.1762 ◽

2016 ◽

Vol E99.A (10) ◽

pp. 1762-1773 ◽

Author(s):

Surasak BOONKLA ◽

Masashi UNOKI ◽

Stanislav S. MAKHANOV ◽

Chai WUTIWIWATCHAI

Keyword(s):

Empirical Mode Decomposition ◽

Speech Analysis ◽

Analysis Method ◽

Filter Model ◽

Multivariate Empirical Mode Decomposition ◽

Mode Decomposition

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