Mathematical Problems in Engineering

Applications of Mode Decomposition in Nonlinear and Nonstationary Signal Processing


Publishing date
01 Feb 2022
Status
Closed
Submission deadline
17 Sep 2021

Lead Editor
Guest Editors

1Xi’an University of Technology, Xi’an, China

2Oran University of Science and Technology - Mohamed Boudiaf, Bir El Djir, Algeria

3Shaanxi University of Science and Technology, Xi'an, China

This issue is now closed for submissions.
More articles will be published in the near future.

Applications of Mode Decomposition in Nonlinear and Nonstationary Signal Processing

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The denoising, feature extraction, and prediction of nonlinear and nonstationary signals are of great significance as they can provide convenience and a basis for signal detection and tracking. The traditional signal processing methods have some limitations for nonlinear and nonstationary signal processing, but mode decomposition algorithms are suitable for dealing with nonlinear and nonstationary signals. With the development of mode decomposition algorithms, many new and improved methods have been proposed, such as ensemble empirical mode decomposition (EEMD), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and variational mode decomposition (VMD). These new mode decomposition algorithms can be applied to nonlinear and nonstationary signals, which promotes the development of nonlinear and nonstationary signal processing.

Due to the problems of mode mixing, end effect, and lack of adaptability, the mode decomposition algorithm is a key challenge in nonlinear and nonstationary signal processing. This directly determines the performance of denoising, feature extraction, and prediction, and is vital for the further processing of nonlinear and nonstationary signals.

This Special Issue welcomes manuscripts that address any aspects associated with mode decomposition in nonlinear and nonstationary signal processing, such as fault diagnosis, acoustic signal processing, and medical signal processing. Manuscripts attempting the integration of mode decomposition with other concepts and addressing the role of mode decomposition in interdisciplinary research are particularly encouraged. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Nonlinear and nonstationary signal processing based on mode decomposition
  • Fault diagnosis based on mode decomposition
  • Acoustic signal processing based on mode decomposition
  • Vibration signal denoising based on mode decomposition
  • Fault feature extraction based on mode decomposition
  • Financial prediction based on mode decomposition
  • ECG cardiac detection based on mode decomposition
  • Speech recognition based on mode decomposition
  • Epileptic signal classification with deep EEG features

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 2058258
  • - Research Article

Bearing Fault Feature Extraction Method Based on GA-VMD and Center Frequency

Yuxing Li | Bingzhao Tang | ... | Yingmin Yi
  • Special Issue
  • - Volume 2022
  • - Article ID 8092706
  • - Research Article

Feature Extraction of Ship Radiation Signals Based on Wavelet Packet Decomposition and Energy Entropy

Yuxing Li | Feiyue Ning | ... | Yingmin Yi
  • Special Issue
  • - Volume 2021
  • - Article ID 7150921
  • - Research Article

RCMFRDE: Refined Composite Multiscale Fluctuation-Based Reverse Dispersion Entropy for Feature Extraction of Ship-Radiated Noise

Yuxing Li | Shangbin Jiao | ... | Xinru Jiang
  • Special Issue
  • - Volume 2021
  • - Article ID 6980715
  • - Research Article

Antidisturbance Control for Helicopter Stochastic Systems

Dongping Li | Yankai Li
  • Special Issue
  • - Volume 2021
  • - Article ID 8049516
  • - Research Article

Application of Adaptive Local Iterative Filtering and Permutation Entropy in Gear Fault Recognition

Wenbin Zhang | Yun Wang | ... | Yasong Pu
  • Special Issue
  • - Volume 2021
  • - Article ID 6032325
  • - Research Article

Determinants of Commodity Futures Prices: Decomposition Approach

Emmanuel Antwi | Emmanuel N. Gyamfi | ... | Anokye M. Adam
  • Special Issue
  • - Volume 2021
  • - Article ID 5462965
  • - Research Article

Wavelet Analysis of Red Noise and Its Application in Climate Diagnosis

Zhihua Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 2321042
  • - Research Article

Drivers of Stock Prices in Ghana: An Empirical Mode Decomposition Approach

Emmanuel. N. Gyamfi | Frederick A. A. Sarpong | Anokye M. Adam
  • Special Issue
  • - Volume 2021
  • - Article ID 8258778
  • - Research Article

COVID-19 as Information Transmitter to Global Equity Markets: Evidence from CEEMDAN-Based Transfer Entropy Approach

Peterson Owusu Junior | Siaw Frimpong | ... | George Tweneboah
  • Special Issue
  • - Volume 2021
  • - Article ID 3351074
  • - Research Article

FLS-Based Nonuniform Trajectory Tracking AILC for Uncertain Nonlinear Systems with Nonsymmetric Dead-Zone Input and Initial State Error

Chunli Zhang | Xu Tian | Lei Yan
Mathematical Problems in Engineering
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