| 书目名称 | Wavelets Made Easy | | 编辑 | Yves Nievergelt | | 视频video | | | 图书封面 |  | | 描述 | This book explains the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and the synthesis of signals, images, and other arrays of data. The material presented here addresses the au dience of engineers, financiers, scientists, and students looking for explanations of wavelets at the undergraduate level. It requires only a working knowledge or memories of a first course in linear algebra and calculus. The first part of the book answers the following two questions: What are wavelets? Wavelets extend Fourier analysis. How are wavelets computed? Fast transforms compute them. To show the practical significance of wavelets, the book also provides transitions into several applications: analysis (detection of crashes, edges, or other events), compression (reduction of storage), smoothing (attenuation of noise), and syn thesis (reconstruction after compression or other modification). Such applications include one-dimensional signals (sounds or other time-series), two-dimensional arrays (pictures or maps), and three-dimensional data (spatial diffusion). The ap plications demonstrated here do not constitute recipes for real implementati | | 出版日期 | Textbook 1999 | | 关键词 | Applications of Mathematics; Numerical Mathematics; Wavelets; ksa; approximation; computer; convolution; da | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-0573-9 | | isbn_softcover | 978-1-4612-6823-9 | | isbn_ebook | 978-1-4612-0573-9 | | copyright | Springer Science+Business Media New York 1999 |
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发表于 2025-3-21 19:14:37
