A comparative study of EMD, NSP and VMD for signal decomposition

Yue He; Jialing Mo; Weiping Hu

doi:10.1117/12.3038650

22 July 2024 A comparative study of EMD, NSP and VMD for signal decomposition

Yue He, Jialing Mo, Weiping Hu

Proceedings Volume 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024); 132220V (2024) https://doi.org/10.1117/12.3038650
Event: Third International Conference on Signal Processing and Communication Security (ICSPCS 2024), 2024, Chengdu, China

Abstract

Signal decomposition is an important step in signal processing, and it is important to choose the appropriate decomposition method. In this paper, the principles and potential applications of EMD, NSP and VMD algorithms in various fields are introduced, and the priority order of signal components extracted by EMD, NSP and VMD algorithms is verified by experiments. The advantages and disadvantages of frequency domain resolution and decomposition of the three algorithms are compared. Among them, VMD has the strongest resolution in the frequency domain, followed by NSP. When it comes to breaking down FM signals, EMD and NSP are suitable, while VMD is not. Finally, this paper summarizes the advantages, disadvantages and application scenarios of these three algorithms, provides important guidance and reference for researchers to choose appropriate signal decomposition algorithms, and looks forward to future research.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue He, Jialing Mo, and Weiping Hu "A comparative study of EMD, NSP and VMD for signal decomposition", Proc. SPIE 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024), 132220V (22 July 2024); https://doi.org/10.1117/12.3038650

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available