TitleNonlinear Mode Decomposition : Theory and Applications
Author(s)Iatsenko, Dmytro
PublicationCham, Springer International Publishing, 2015.
DescriptionXXIII, 135 p. 33 illus., 13 illus. in color : online resource
Abstract NoteThis work??introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications, and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. MatLab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications
ISBN,Price9783319200163
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SOFTWARE 3. DYNAMICAL SYSTEMS 4. Dynamical Systems and Ergodic Theory 5. DYNAMICS 6. EBOOK 7. EBOOK - SPRINGER 8. ERGODIC THEORY 9. IMAGE PROCESSING 10. Mathematical Software 11. Numerical and Computational Physics, Simulation 12. PHYSICS 13. SIGNAL PROCESSING 14. Signal, Image and Speech Processing 15. Speech processing systems 16. STATISTICAL PHYSICS 17. Statistical Physics and Dynamical Systems
Item TypeeBook
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