Multichannel Signal Denoising Using Multivariate Variational Mode Decomposition With Subspace Projection

Multichannel Signal Denoising Using Multivariate Variational Mode Decomposition With Subspace Projection

This paper describes a novel multichannel signal denoising approach based on multivariate variational mode decomposition (MVMD). MVMD is the extended version of the variational mode decomposition (VMD) algorithm for multichannel data sets. Unlike previous MEMD (multivariate empirical mode decomposit...

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Bibliographic Details
Main Authors: Peipei Cao, Huali Wang, Kaijie Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
MVMD
VMD
oscillatory modes
Online Access:https://ieeexplore.ieee.org/document/9069920/

Internet

https://ieeexplore.ieee.org/document/9069920/

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