Computational Signal Processing with Wavelets / by Anthony Teolis
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | Cham : Springer International Publishing : Imprint: Birkhäuser |
| 出版年 | 2017 |
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| 書誌ID | OB01038116 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | Introduction -- Mathematical Preliminaries -- Signal Representation and Frames -- Continuous Wavelet and Gabor Transforms -- Discrete Wavelet Transform -- Overcomplete Wavelet Transform -- Wavelet Signal Processing -- Object-Oriented Wavelet Analysis with MATLAB 5 -- References -- Index. License restrictions may limit access Summary: 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 |
| 著者標目 | *Teolis, Anthony SpringerLink (Online service) |
| 統一書名標目 | Modern Birkhäuser Classics, |
| 件 名 | LCSH:Mathematics LCSH:Fourier analysis LCSH:Computer mathematics LCSH:Numerical analysis FREE:Mathematics FREE:Numerical Analysis FREE:Fourier Analysis FREE:Computational Science and Engineering |
| 分 類 | LCC:QA297-299.4 DC23:518 |
| 巻冊次 | ISBN:9783319657479 RefWorks出力（各巻） print ; ISBN:9783319657462 RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
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※2020年8月16日以降