Orthogonalized variational mode decomposition

This paper introduces a modification to variational mode decomposition (VMD) by promoting mode orthogonality in the minimization problem. The main idea is to actively transmit and receive non-orthogonal signal components between the modes by imposing weak orthogonality conditions. The approach, combined with the proportional value of filter bandwidth, effectively prevents mode duplication and enhances robustness of the decomposition against over-segmentation. Experiments considering a broadband synthetic signal show the improved performance of this method in comparison to the standard Variational Mode Decomposition (VMD). The sensitivity of the method to different filter bandwidth, levels of noise, and its effectiveness in handling over-segmentation are also examined. • The Variational Mode Decomposition (VMD) method is sensitive to prescribed parameters. • Overlapping signal components and noise limit the robustness of VMD. • Minimizing coherence in the variational problem promotes orthogonality and robustness. • An adaptive filter parameter improves the method’s performance for broadband signals.

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Publication Details

Journal
Signal Processing
Published
2025-08-22
DOI
https://doi.org/10.1016/j.sigpro.2025.110251
Citations
2
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
2.43
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article

Orthogonalized variational mode decomposition

Himpu Marbona, Eusebio Valero, Daniel Rodríguez, Alejandro Martínez-Cava
2 citations
Signal Processing
Machine Fault Diagnosis Techniques
2.43
article

Orthogonalized variational mode decomposition

Himpu Marbona, Eusebio Valero, Daniel Rodríguez, Alejandro Martínez-Cava
article en
2 citations

Abstract

This paper introduces a modification to variational mode decomposition (VMD) by promoting mode orthogonality in the minimization problem. The main idea is to actively transmit and receive non-orthogonal signal components between the modes by imposing weak orthogonality conditions. The approach, combined with the proportional value of filter bandwidth, effectively prevents mode duplication and enhances robustness of the decomposition against over-segmentation. Experiments considering a broadband synthetic signal show the improved performance of this method in comparison to the standard Variational Mode Decomposition (VMD). The sensitivity of the method to different filter bandwidth, levels of noise, and its effectiveness in handling over-segmentation are also examined. • The Variational Mode Decomposition (VMD) method is sensitive to prescribed parameters. • Overlapping signal components and noise limit the robustness of VMD. • Minimizing coherence in the variational problem promotes orthogonality and robustness. • An adaptive filter parameter improves the method’s performance for broadband signals.

Signal ProcessingVol. 239
Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 10%
Machine Fault Diagnosis Techniques
2.43
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Orthogonalized variational mode decomposition — Himpu Marbona, Eusebio Valero, et al. · Signal Processing (2025) | TGRS Research Map | TGRS