Computational Signal Processing with Wavelets:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Birkhäuser Boston
1998
|
| Schriftenreihe: | Applied and Numerical Harmonic Analysis
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XXIV, 324 p) |
| ISBN: | 9781461241423 9781461286721 |
| DOI: | 10.1007/978-1-4612-4142-3 |
Internformat
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| 500 | |a 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 | ||
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Datensatz im Suchindex
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| discipline | Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-1-4612-4142-3 |
| format | Electronic eBook |
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| isbn | 9781461241423 9781461286721 |
| language | English |
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| spelling | Teolis, Anthony Verfasser aut Computational Signal Processing with Wavelets by Anthony Teolis Boston, MA Birkhäuser Boston 1998 1 Online-Ressource (XXIV, 324 p) txt rdacontent c rdamedia cr rdacarrier Applied and Numerical Harmonic Analysis 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 Engineering Fourier analysis Mathematics Computer science / Mathematics Computer science Telecommunication Signal, Image and Speech Processing Communications Engineering, Networks Computational Mathematics and Numerical Analysis Computational Science and Engineering Applications of Mathematics Fourier Analysis Informatik Ingenieurwissenschaften Mathematik Wavelet (DE-588)4215427-3 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 s Wavelet (DE-588)4215427-3 s 1\p DE-604 https://doi.org/10.1007/978-1-4612-4142-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Teolis, Anthony Computational Signal Processing with Wavelets Engineering Fourier analysis Mathematics Computer science / Mathematics Computer science Telecommunication Signal, Image and Speech Processing Communications Engineering, Networks Computational Mathematics and Numerical Analysis Computational Science and Engineering Applications of Mathematics Fourier Analysis Informatik Ingenieurwissenschaften Mathematik Wavelet (DE-588)4215427-3 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| subject_GND | (DE-588)4215427-3 (DE-588)4054947-1 |
| title | Computational Signal Processing with Wavelets |
| title_auth | Computational Signal Processing with Wavelets |
| title_exact_search | Computational Signal Processing with Wavelets |
| title_full | Computational Signal Processing with Wavelets by Anthony Teolis |
| title_fullStr | Computational Signal Processing with Wavelets by Anthony Teolis |
| title_full_unstemmed | Computational Signal Processing with Wavelets by Anthony Teolis |
| title_short | Computational Signal Processing with Wavelets |
| title_sort | computational signal processing with wavelets |
| topic | Engineering Fourier analysis Mathematics Computer science / Mathematics Computer science Telecommunication Signal, Image and Speech Processing Communications Engineering, Networks Computational Mathematics and Numerical Analysis Computational Science and Engineering Applications of Mathematics Fourier Analysis Informatik Ingenieurwissenschaften Mathematik Wavelet (DE-588)4215427-3 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| topic_facet | Engineering Fourier analysis Mathematics Computer science / Mathematics Computer science Telecommunication Signal, Image and Speech Processing Communications Engineering, Networks Computational Mathematics and Numerical Analysis Computational Science and Engineering Applications of Mathematics Fourier Analysis Informatik Ingenieurwissenschaften Mathematik Wavelet Signalverarbeitung |
| url | https://doi.org/10.1007/978-1-4612-4142-3 |
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