Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 109,74
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 122,13
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 115,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 115,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 130,88
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 134,90
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 160 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 141,38
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 135.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 152,20
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 158 pages. 9.25x6.10x0.59 inches. In Stock.
EUR 95,15
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 150,22
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 158 pages. 9.25x6.10x0.38 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 170,46
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 203,02
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Okt 2016, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing Jul 2015, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 146,61
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 135.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 140,99
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 160.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 147,52
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 135.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 163,91
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 160.
Idioma: Inglés
Publicado por Springer, Springer Jul 2015, 2015
ISBN 10: 3319200151 ISBN 13: 9783319200156
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer, Springer Okt 2016, 2016
ISBN 10: 331938712X ISBN 13: 9783319387123
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.