书目名称 | Spline and Spline Wavelet Methods with Applications to Signal and Image Processing |
副标题 | Volume I: Periodic S |
编辑 | Amir Z. Averbuch,Pekka Neittaanmaki,Valery A. Zhel |
视频video | http://file.papertrans.cn/875/874534/874534.mp4 |
概述 | Provides a universal toolbox accompanied by Matlab software.Can be used as supplementary reading.Presents a new generic approach to the wavelets and frames design.Includes supplementary material: |
图书封面 |  |
描述 | .This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications. It is done with discrete and polynomial periodic splines. Various contributions of splines to signal and image processing from a unified perspective are presented. This presentation is based on Zak transform and on Spline Harmonic Analysis (SHA) methodology. SHA combines approximation capabilities of splines with the computational efficiency of the Fast Fourier transform. SHA reduces the design of different spline types such as splines, spline wavelets (SW), wavelet frames (SWF) and wavelet packets (SWP) and their manipulations by simple operations. Digital filters, produced by wavelets design process, give birth to subdivision schemes. Subdivision schemes enable to perform fast explicit computation of splines‘ values at dyadic and triadic rational points. This is used for signals and images up sampling. In addition to the design of a diverse library of splines, SW, SWP and SWF, this book describes their applications to practical problems. The applications include up sampling, image denoising, recovery from blurred images, hydro-acoustic targ |
出版日期 | Book 2014 |
关键词 | Frames; Images; Signals; Splines; Wavelets |
版次 | 1 |
doi | https://doi.org/10.1007/978-94-017-8926-4 |
isbn_softcover | 978-94-024-0562-0 |
isbn_ebook | 978-94-017-8926-4 |
copyright | Springer Science+Business Media Dordrecht 2014 |