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Three-dimensional sparse random mode decomposition: From theory to application

delete2025-08-14
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PRE
AI
C
Chen Luo
T
Tao Chen
H
Hongye Su
L
Luca Mainardi
L
Lei Xie *
DOI:10.1016/j.sigpro.2025.110239delete
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Abstract

Abstract

En 中文
• An advanced decomposition technique, termed 3D-SRMD, is introduced. • Chirp rate dimension is incorporated in SRMD to disentangle crossover modes. • A novel random feature strategy is designed to improve approximation accuracy. • 3D-SRMD shows high accuracy and strong robustness on crossover modes separation.
Keywords:
3D-SRMD
chirp rate dimension
random feature strategy
crossover modes
decomposition technique

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
9.9K
Citations:
1.7W

Organization

D
Department of Electronics
Scholars:
317
Papers: 159
Citations: 1
Z
zhejiang university
Scholars:
17.5W
Papers: 12.0W
Citations: 152