Dynalets: A New Tool for Biological Signal Processing

DOI10.1007/978-3-319-22476-3_9zbMath1331.92072OpenAlexW3104861959MaRDI QIDQ2787236

Jacques Demongeot, Olivier Hansen, Ali Hamie, Mustapha Rachdi

Publication date: 25 February 2016

Published in: Functional Statistics and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-22476-3_9

zbMATH Keywords

Liénard differential equationsDynaletelectro-physiologic signal sensors

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Computational methods for problems pertaining to biology (92-08)

Related Items (2)

Dynalets: A New Tool for Biological Signal Processing ⋮ Dynalets

Cites Work

• Unnamed Item
• Liénard systems and potential-Hamiltonian decomposition. II: Algorithm
• Liénard systems and potential-Hamiltonian decomposition. I: Methodology
• Optimal expectile smoothing
• Ondelettes et bases hilbertiennes. (Wavelets and Hilbert bases)
• Dynalets: A New Tool for Biological Signal Processing
• A theory for multiresolution signal decomposition: the wavelet representation
• Orthonormal bases of compactly supported wavelets
• The Period and Amplitude of the Van Der Pol Limit Cycle

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