Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Nonlinear Mode Decomposition: Theory and Applications

Nonlinear Mode Decomposition: Theory and Applications

Iatsenko, Dmytro

Paperback

Series: Springer Theses

Technology & EngineeringGeneral MathematicsPhysics

ISBN10: 331938712X
ISBN13: 9783319387123
Publisher: Springer Nature
Published: Oct 17 2016
Pages: 135
Weight: 0.51
Height: 0.34 Width: 6.14 Depth: 9.21
Language: English
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. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications.

1 different editions

Also available

Also in

Physics

View All