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Title | Nonlinear Mode Decomposition : Theory and Applications |
Author(s) | Iatsenko, Dmytro |
Publication | Cham, Springer International Publishing, 2015. |
Description | XXIII, 135 p. 33 illus., 13 illus. in color : online resource |
Abstract Note | This 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,Price | 9783319200163 |
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
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Item Type | eBook |
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Call# | Status | Issued To | Return Due On | Physical Location |
I05921 |
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