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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing : Volume II: Non-Periodic Splines by Averbuch, Amir Z., Neittaanmäki, Pekka, Zheludev, Valery A. is a nonfiction available to read on EtoBox.
What is Spline and Spline Wavelet Methods with Applications to Signal and Image Processing : Volume II: Non-Periodic Splines about?
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 quasi
Who reads Spline and Spline Wavelet Methods with Applications to Signal and Image Processing : Volume II: Non-Periodic Splines?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Averbuch, Amir Z., Neittaanmäki, Pekka, Zheludev, Valery A.
- Publisher
- Springer Netherlands : Imprint : Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783319921228
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Mathematics
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