Sparse Time-Frequency Decomposition for Multiple Signals with Same Frequencies

DOI10.1142/S2424922X17500103zbMath1378.94007arXiv1507.02037OpenAlexW2962837684MaRDI QIDQ4595329

Zuoqiang Shi, Thomas Yizhao Hou

Publication date: 30 November 2017

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.02037

zbMATH Keywords

instantaneous frequencymultiple measurementssimultaneous sparsity approximationsparse time-frequency decomposition

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Two-dimensional compact variational mode decomposition

Uses Software

• PDCO

Cites Work

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• Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool
• Signal decomposition and analysis via extraction of frequencies
• Algorithms for simultaneous sparse approximation. I: Greedy pursuit
• Algorithms for simultaneous sparse approximation. II: Convex relaxation
• Data-driven time-frequency analysis
• Convergence of a data-driven time-frequency analysis method
• Sparse time-frequency decomposition based on dictionary adaptation
• The Split Bregman Method for L1-Regularized Problems
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Ten Lectures on Wavelets
• Atomic Decomposition by Basis Pursuit
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Empirical Wavelet Transform
• Variational Mode Decomposition
• Matching pursuits with time-frequency dictionaries
• Compressed sensing

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