Sparse time-frequency representation of nonlinear and nonstationary data

DOI10.1007/s11425-013-4733-7zbMath1304.65282OpenAlexW1978206812MaRDI QIDQ476519

Zuoqiang Shi, Thomas Yizhao Hou

Publication date: 2 December 2014

Published in: Science China. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-013-4733-7

zbMATH Keywords

waveletsconvergencenumerical experimentsdata analysistime-frequency analysissparse representationcompressed sensingdata-drivennonlinear optimization problemempirical mode decomposition methodnonlinear matching pursuit

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Numerical methods for trigonometric approximation and interpolation (65T40)

Related Items (3)

Convex optimization approach to signals with fast varying instantaneous frequency ⋮ Sparse time-frequency decomposition based on dictionary adaptation ⋮ A two-level method for sparse time-frequency representation of multiscale data

Uses Software

• PDCO
• UNLocBoX
• CoSaMP

Cites Work

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