Computational Signal Processing with Wavelets
Language: English
Published by Springer International Publishing Okt 2017, 2017
Series: Book 6 of 88 - Applied and Numerical Harmonic Analysis
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 47.24
Quantity: 2 available
Add to basketItem description from seller
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.…
Seller Inventory # 9783319657462
- Title
- Computational Signal Processing with Wavelets
- Author
- Anthony Teolis
- Publisher
- Springer International Publishing Okt 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319657461
- ISBN 13
- 9783319657462
- Item weight
- 534 grams
- Dimensions
- 235x155x20 mm
- Series
- Book 6 of 88: Applied and Numerical Harmonic 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
"Synopsis" may belong to another edition of this title.
From the Back Cover
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
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
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