| 书目名称 | Computational Signal Processing with Wavelets |
| 编辑 | Anthony Teolis |
| 视频video | |
| 概述 | Affordable, softcover reprint of a classic textbook?.Provides a bridge between theory and practice of wavelet-based signal processing.Theoretically rigorous while maintaining contact with interesting |
| 丛书名称 | Modern Birkhäuser Classics |
| 图书封面 |  |
| 描述 | 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 s |
| 出版日期 | Book 2017 |
| 关键词 | Applied Signal Processing; Wavelets; Fourier Analysis; Signal Processing Algorithms; Wavelet Signal Proc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-65747-9 |
| isbn_softcover | 978-3-319-65746-2 |
| isbn_ebook | 978-3-319-65747-9Series ISSN 2197-1803 Series E-ISSN 2197-1811 |
| issn_series | 2197-1803 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 18:00:16
