| 书目名称 | Spline and Spline Wavelet Methods with Applications to Signal and Image Processing | | 副标题 | Volume II: Non-Perio | | 编辑 | Amir Z. Averbuch,Pekka Neittaanmäki,Valery A. Zhel | | 视频video | | | 概述 | Introduces a generic approach to wavelets and frames design.Provides a universal toolbox for manipulating splines.Presents methods and Matlab codes supported by accompanying software.Includes suppleme | | 图书封面 |  | | 描述 | .This book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak transform (ZT). It expands the methodology from periodic splines, which were presented in the first volume, to non-periodic splines. Together, these books provide a universal toolbox accompanied by MATLAB software for manipulating polynomial and discrete splines, spline-based wavelets, wavelet packets and wavelet frames for signal/ image processing applications..In this volume, we see that the ZT provides an integral representation of discrete and polynomial splines, which, to some extent, is similar to Fourier integral. The authors explore elements of spline theory and design, and consider different types of polynomial and discrete splines. They describe applications of spline-based wavelets to data compression. These splines are useful for real-time signal processing and, in particular, real-time wavelet and frame transforms..Further topics addressed in this volume include: "global" splines, such as interpolating, self-dual and smoothing, whose supports are infinite; the compactly supported quasi-interpolating and smoothing splines including quas | | 出版日期 | Book 2016 | | 关键词 | Frames; Images; Signals; Splines; Wavelets | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-22303-2 | | isbn_ebook | 978-3-319-22303-2 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 17:40:35
