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02956nam a22005295i 4500 |
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978-3-319-20016-3 |
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DE-He213 |
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20151204164542.0 |
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150619s2015 gw | s |||| 0|eng d |
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|a 9783319200163
|9 978-3-319-20016-3
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|a 10.1007/978-3-319-20016-3
|2 doi
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|a SCI040000
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|a 530.1
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|a Iatsenko, Dmytro.
|e author.
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|a Nonlinear Mode Decomposition
|h [electronic resource] :
|b Theory and Applications /
|c by Dmytro Iatsenko.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XXIII, 135 p. 33 illus., 13 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a Introduction.- Linear Time-Frequency Analysis.- Extraction of Components from the TFR -- Nonlinear Mode Decomposition -- Examples, Applications and Related Issues.- Conclusion.
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|a 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.
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|a Physics.
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|a Dynamics.
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|a Ergodic theory.
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|a Computer software.
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|a Statistical physics.
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|a Dynamical systems.
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|a Physics.
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|a Numerical and Computational Physics.
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|a Dynamical Systems and Ergodic Theory.
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|a Signal, Image and Speech Processing.
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|a Mathematical Software.
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|a Statistical Physics, Dynamical Systems and Complexity.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319200156
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| 830 |
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u http://dx.doi.org/10.1007/978-3-319-20016-3
|z Full Text via HEAL-Link
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|a ZDB-2-PHA
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|a Physics and Astronomy (Springer-11651)
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