Articoli correlati a Computational Signal Processing with Wavelets
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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 transforms
- Frame-based theory of discretization and reconstruction of analog signals is developed
- New and efficient "overcomplete" wavelet transform is introduced and applied
- Numerical 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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- EditoreBirkhäuser
- Data di pubblicazione2017
- ISBN 10 3319657461
- ISBN 13 9783319657462
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine352
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Computational Signal Processing with Wavelets
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Springer International Publishing Okt 2017, 2017
ISBN 10: 3319657461
ISBN 13: 9783319657462
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Taschenbuch. 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. Codice articolo 9783319657462
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Computational Signal Processing with Wavelets (Modern Birkhäuser Classics)
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Computational Signal Processing with Wavelets
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Taschenbuch. 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. Codice articolo 9783319657462
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Paperback. Condizione: Brand New. 352 pages. 9.25x6.10x0.80 inches. In Stock. Codice articolo x-3319657461
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