Improved VGNMD

An improved variational generalized nonlinear mode decomposition for separating crossed chirp modes and dispersive modes

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The matlab codes permit to reproduce some results in the paper: Wang H, Chen S, Zhai W, Improved variational generalized nonlinear mode decomposition for separating crossed chirp modes and dispersive modes of non-stationary signals in mechanical systems, Mechanical Systems and Signal Processing, 2025. The algorithm used in the paper is an improved version of that in the paper: Wang H, Chen S, Zhai W, Variational generalized nonlinear mode decomposition: Algorithm and applications, Mechanical Systems and Signal Processing, 2024. Chen S, Yang Y, Peng Z, et al, Adaptive chirp mode pursuit: Algorithm and applications, Mechanical Systems and Signal Processing, 2018. and the paper: Chen S, Wang K, Peng Z, et al, Generalized dispersive mode decomposition: Algorithm and applications, Journal of Sound and Vibration, 2021. Some of the scripts are adopted from the paper: Chen S, Dong X, Peng Z, et al, Nonlinear Chirp Mode Decomposition: A Variational Method, IEEE Transactions on Signal Processing, 2017. and the paper: Wang H, Chen S, Zhai W, Data-driven adaptive chirp mode decomposition with application to machine fault diagnosis under non-stationary conditions, Mechanical Systems and Signal Processing, 2023.
Copyright (c) belongs to the authors of the papers. An acknowledgment for the codes and the citations about the papers above should be included in the publications as long as the codes are used.
Contact Information:
Dr. Shiqian Chen
State Key Laboratory of Rail Transit Vehicle System
Southwest Jiaotong University
Chengdu, 610031
P.R. China
Email: chenshiqian@swjtu.edu.cn
Mr. Hongbing Wang
State Key Laboratory of Rail Transit Vehicle System
Southwest Jiaotong University
Chengdu, 610031
P.R. China
Email: hbwang@my.swjtu.edu.cn

Cite As

Shiqian Chen (2026). Improved VGNMD (https://www.mathworks.com/matlabcentral/fileexchange/180043-improved-vgnmd), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0