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Nonlinear Mode Decomposition: Theory and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 132.19
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Nonlinear Mode Decomposition: Theory and Applications (Springer Theses)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 160 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.
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Condition: New. pp. 135.
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US$ 176.97
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Add to basketHardcover. Condition: Brand New. 158 pages. 9.25x6.10x0.59 inches. In Stock.
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Taschenbuch. Condition: Neu. Nonlinear Mode Decomposition | Theory and Applications | Dmytro Iatsenko | Taschenbuch | Springer Theses | xxiii | Englisch | 2016 | Springer | EAN 9783319387123 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Nonlinear Mode Decomposition : Theory and Applications
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Nonlinear Mode Decomposition : Theory and Applications
Language: English
Published by Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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US$ 174.67
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Add to basketPaperback. Condition: Brand New. reprint edition. 158 pages. 9.25x6.10x0.38 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Nonlinear Mode Decomposition
Language: English
Published by Springer International Publishing Okt 2016, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch.
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Nonlinear Mode Decomposition
Language: English
Published by Springer International Publishing Jul 2015, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch.
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Nonlinear Mode Decomposition
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
US$ 108.60
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an outstanding PhD thesis by Lancaster University, UKFree MatLab codes available for all methods used in the bookDetails many important aspects of time-frequency analysis that are often touched upon only briefly in the literatu.
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Nonlinear Mode Decomposition
Language: English
Published by Springer International Publishing, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
US$ 108.60
US$ 55.98 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an outstanding PhD thesis by Lancaster University, UKFree MatLab codes available for all methods used in the bookDetails many important aspects of time-frequency analysis that are often touched upon only briefly in the literatu.
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US$ 161.87
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Add to basketCondition: New. Print on Demand pp. 160.
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US$ 166.48
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Add to basketCondition: New. Print on Demand pp. 135.
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Condition: New. PRINT ON DEMAND pp. 160.
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Condition: New. PRINT ON DEMAND pp. 135.
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Nonlinear Mode Decomposition
Language: English
Published by Springer, Springer Okt 2016, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This workintroduces 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch.
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Nonlinear Mode Decomposition
Language: English
Published by Springer, Springer Jul 2015, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This workintroduces 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.
