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Nonlinear mode decomposition = theor...

Iatsenko, Dmytro.

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Nonlinear mode decomposition = theory and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear mode decomposition/ by Dmytro Iatsenko.
Reminder of title:	theory and applications /
Author:	Iatsenko, Dmytro.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xxiii, 135 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Linear Time-Frequency Analysis -- Extraction of Components from the TFR -- Nonlinear Mode Decomposition -- Examples, Applications and Related Issues -- Conclusion.
Contained By:	Springer eBooks
Subject:	Time-series analysis - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20016-3
ISBN:	9783319200163 (electronic bk.)

Nonlinear mode decomposition = theory and applications /
Iatsenko, Dmytro.

Nonlinear mode decompositiontheory and applications /[electronic resource] :by Dmytro Iatsenko. - Cham :Springer International Publishing :2015. - xxiii, 135 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Linear Time-Frequency Analysis -- Extraction of Components from the TFR -- Nonlinear Mode Decomposition -- Examples, Applications and Related Issues -- Conclusion.

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: 9783319200163 (electronic bk.)

Standard No.: 10.1007/978-3-319-20016-3doiSubjects--Topical Terms:

674421
Time-series analysis
--Mathematical models.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Nonlinear mode decomposition = theory and applications /
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020 $a 9783319200163 (electronic bk.)
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100 1 $a Iatsenko, Dmytro. $3 2156994
245 1 0 $a Nonlinear mode decomposition $h [electronic resource] : $b theory and applications / $c by Dmytro Iatsenko.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxiii, 135 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Linear Time-Frequency Analysis -- Extraction of Components from the TFR -- Nonlinear Mode Decomposition -- Examples, Applications and Related Issues -- Conclusion.
520 $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.
650 0 $a Time-series analysis $x Mathematical models. $3 674421
650 1 4 $a Physics. $3 516296
650 2 4 $a Numerical and Computational Physics. $3 1066671
650 2 4 $a Dynamical Systems and Ergodic Theory. $3 891276
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Mathematical Software. $3 897499
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