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Ajouter au panierPaperback. Etat : New. A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.96x7.99x0.47 inches. In Stock.
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Ajouter au panierEtat : New. A concise survey of essential topics in geophysical data processing for advanced undergraduate and graduate students in geophysics, environmental science, and engineering. With real-life scenarios and datasets, it shows how data processing techniques can be.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Concise, self-contained survey of data processing methods in geophysics and other sciences, for upper level science and engineering students.
Langue: anglais
Edité par Cambridge University Press, GB, 2021
ISBN 10 : 1108931006 ISBN 13 : 9781108931007
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Ajouter au panierPaperback. Etat : New. A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108931006 ISBN 13 : 9781108931007
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.96x7.99x0.47 inches. In Stock. This item is printed on demand.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 1108931006 ISBN 13 : 9781108931007
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Ajouter au panierPaperback. Etat : new. Paperback. A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors. A concise survey of essential topics in geophysical data processing for advanced undergraduate and graduate students in geophysics, environmental science, and engineering. With real-life scenarios and datasets, it shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108931006 ISBN 13 : 9781108931007
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Ajouter au panierTaschenbuch. Etat : Neu. Essentials of Geophysical Data Processing | Clark R. Wilson | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cambridge University Press | EAN 9781108931007 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.