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

Mengjiao Wang; Zequan Zhou; Zhijun Li; Yicheng Zeng

doi:10.1007/s00034-018-0973-7

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

Mengjiao Wang Zequan Zhou Zhijun Li Yicheng Zeng

Year: 2018 Journal: Circuits Systems and Signal Processing Vol: 38 (6)Pages: 2471-2488 Publisher: Birkhäuser

DOI: 10.1007/s00034-018-0973-7

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Keywords:

Hilbert–Huang transform Chaotic Noise reduction Mode (computer interface) Decomposition Computer science Algorithm Artificial intelligence White noise Telecommunications Chemistry

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Chaos control and synchronization

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

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

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