Orthogonal intrinsic mode functions via optimization approach

DOI10.3934/JIMO.2019098zbMath1474.94049OpenAlexW2963606093MaRDI QIDQ2031311

Xinpeng Wang, Bingo Wing-Kuen Ling, Zhijing Yang, Wei-Chao Kuang

Publication date: 9 June 2021

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2019098

zbMATH Keywords

nonsmooth optimizationnonconvex optimizationempirical mode decompositionexclusive or constrained optimizationorthogonal intrinsic mode functions

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• A limited memory quasi-Newton trust-region method for box constrained optimization
• Descent gradient methods for nonsmooth minimization problems in ill-posed problems
• A B-spline approach for empirical mode decompositions
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Investigation and Performance Enhancement of the Empirical Mode Decomposition Method Based on a Heuristic Search Optimization Approach
• Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding
• Maximally Decimated Paraunitary Linear Phase FIR Filter Bank Design via Iterative SVD Approach
• Optimal Design of Magnitude Responses of Rational Infinite Impulse Response Filters
• EMPIRICAL MODE DECOMPOSITIONS AS DATA-DRIVEN WAVELET-LIKE EXPANSIONS

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