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Editore: Springer (India) Private Limited, 2017
ISBN 10: 3319657461 ISBN 13: 9783319657462
Da: Books Puddle, New York, NY, U.S.A.
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ISBN 10: 3319657461 ISBN 13: 9783319657462
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ISBN 10: 3319657461 ISBN 13: 9783319657462
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets. With this book, readers will understand and be able to use the power and utility of new wavelet methods in science and engineering problems and analysis. The text is written in a clear, accessible style avoiding unnecessary abstractions and details. From a computational perspective, wavelet signal processing algorithms are presented and applied to signal compression, noise suppression, and signal identification. Numerical illustrations of these computational techniques are further provided with interactive software (MATLAB code) that is available on the World Wide Web. Topics and Features Continuous wavelet and Gabor transformsFrame-based theory of discretization and reconstruction of analog signals is developedNew and efficient 'overcomplete' wavelet transform is introduced and appliedNumerical illustrations with an object-oriented computational perspective using the Wavelet Signal Processing Workstation (MATLAB code) available This book is an excellent resource for information and computational tools needed to use wavelets in many types of signal processing problems. Graduates, professionals, and practitioners in engineering, computer science, geophysics, and applied mathematics will benefit from using the book and software tools. The present, softcover reprint is designed to make this classic textbook available to a wider audience.A self-contained text that is theoretically rigorous while maintaining contact with interesting applications. A particularly noteworthy topic.is a class of 'overcomplete wavelets'. These functions are not orthonormal and they lead to many useful results. -Journal of Mathematical Psychology.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Computational Signal Processing with Wavelets | Anthony Teolis | Taschenbuch | Modern Birkhäuser Classics | xxvi | Englisch | 2017 | Birkhäuser | EAN 9783319657462 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Editore: Springer International Publishing Okt 2017, 2017
ISBN 10: 3319657461 ISBN 13: 9783319657462
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets. With this book, readers will understand and be able to use the power and utility of new wavelet methods in science and engineering problems and analysis. The text is written in a clear, accessible style avoiding unnecessary abstractions and details. From a computational perspective, wavelet signal processing algorithms are presented and applied to signal compression, noise suppression, and signal identification. Numerical illustrations of these computational techniques are further provided with interactive software (MATLAB code) that is available on the World Wide Web. Topics and Features Continuous wavelet and Gabor transformsFrame-based theory of discretization and reconstruction of analog signals is developedNew and efficient 'overcomplete' wavelet transform is introduced and appliedNumerical illustrations with an object-oriented computational perspective using the Wavelet Signal Processing Workstation (MATLAB code) available This book is an excellent resource for information and computational tools needed to use wavelets in many types of signal processing problems. Graduates, professionals, and practitioners in engineering, computer science, geophysics, and applied mathematics will benefit from using the book and software tools. The present, softcover reprint is designed to make this classic textbook available to a wider audience.A self-contained text that is theoretically rigorous while maintaining contact with interesting applications. A particularly noteworthy topic.is a class of 'overcomplete wavelets'. These functions are not orthonormal and they lead to many useful results. -Journal of Mathematical Psychology 352 pp. Englisch.
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Lingua: Inglese
Editore: Springer (India) Private Limited, 2017
ISBN 10: 3319657461 ISBN 13: 9783319657462
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 340.
Lingua: Inglese
Editore: Springer (India) Private Limited, 2017
ISBN 10: 3319657461 ISBN 13: 9783319657462
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 80,40
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 340.
Lingua: Inglese
Editore: Birkhäuser, Palgrave Macmillan Okt 2017, 2017
ISBN 10: 3319657461 ISBN 13: 9783319657462
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Affordable, softcover reprint of a classic textbook¿Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 352 pp. Englisch.