| 書目名稱 | Wavelets Made Easy | | 編輯 | Yves Nievergelt | | 視頻video | http://file.papertrans.cn/1022/1021274/1021274.mp4 | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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