JOURNAL ARTICLE

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

Mengjiao WangZequan ZhouZhijun LiYicheng Zeng

Year: 2018 Journal:   Circuits Systems and Signal Processing Vol: 38 (6)Pages: 2471-2488   Publisher: Birkhäuser
Keywords:
Hilbert–Huang transform Chaotic Noise reduction Mode (computer interface) Decomposition Computer science Algorithm Artificial intelligence White noise Telecommunications Chemistry

Metrics

15
Cited By
1.91
FWCI (Field Weighted Citation Impact)
28
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

Related Documents

JOURNAL ARTICLE

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

Weiyu YuMengjiao WangJiuchao Feng

Journal:   International Journal of Information and Communication Technology Year: 2017 Vol: 11 (4)Pages: 564-564
JOURNAL ARTICLE

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

Mengjiao WangWeiyu YuJiuchao Feng

Journal:   International Journal of Information and Communication Technology Year: 2017 Vol: 11 (4)Pages: 564-564
JOURNAL ARTICLE

Chaotic signals denoising using empirical mode decomposition inspired by multivariate denoising

Fadhil Sahib Hasan

Journal:   International Journal of Electrical and Computer Engineering (IJECE) Year: 2020 Vol: 10 (2)Pages: 1352-1352
© 2026 ScienceGate Book Chapters — All rights reserved.