DFT spectrum-sparsity-based quasi-periodic signal identification and application

DOI10.1007/s00034-015-0022-8zbMath1342.94051OpenAlexW2038890877MaRDI QIDQ737021

Zong-chang Yang

Publication date: 5 August 2016

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-015-0022-8

zbMATH Keywords

identificationDFTquasi-periodic signalspectrum-sparsity

Mathematics Subject Classification ID

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

Cites Work

• Fast Fourier transforms: A tutorial review and a state of the art
• On the diagonalization of the discrete Fourier transform
• The discrete fractional Fourier transform
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• The Finite Harmonic Oscillator and Its Applications to Sequences, Communication, and Radar
• On computing the inverse DFT
• A Probabilistic and RIPless Theory of Compressed Sensing
• Compressed sensing
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