Quantifying the rationality of rhythmic signals

DOI10.1007/978-3-030-45847-8_24zbMATH Open1547.9409MaRDI QIDQ6606388

F. Argoul, Alain Arneodo, Pierre Argoul, Alexandre Guillet

Publication date: 16 September 2024

zbMATH Keywords

energy signalssonance

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• Diatomic molecules according to the wave mechanics. II: Vibrational levels.
• Wave-shape function analysis. When cepstrum meets time-frequency analysis
• Instantaneous frequency and wave shape functions. I
• Time-frequency and time-scale analysis of deformed stationary processes, with application to non-stationary sound modeling
• ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform
• Time-frequency localisation operators-a geometric phase space approach: II. The use of dilations
• Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape
• Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies
• Higher-Order Properties of Analytic Wavelets
• Generalized Morse Wavelets as a Superfamily of Analytic Wavelets
• Element analysis: a wavelet-based method for analysing time-localized events in noisy time series
• Wiener measures for path integrals with affine kinematic variables
• Hilbert–Huang Transform and Its Applications
• On the Analytic Wavelet Transform
• Generalized Morse wavelets

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