Overview
- Covers important practical applications for signal/image processing
- Provides state-of-the-art mathematical tools
- Presents various methods and Matlab codes, supported by accompanying software
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Table of contents (13 chapters)
Keywords
About this book
This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets and wavelet frames in signal and image processing applications.
In self-contained form, it briefly outlines a broad range of polynomial and discrete splines with equidistant nodes and their signal-processing-relevant properties. In particular, interpolating, smoothing, and shift-orthogonal splines are presented.
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Bibliographic Information
Book Title: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing
Book Subtitle: Volume III: Selected Topics
Authors: Amir Z. Averbuch, Pekka Neittaanmäki, Valery A. Zheludev
DOI: https://doi.org/10.1007/978-3-319-92123-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-92122-8Published: 09 July 2018
Softcover ISBN: 978-3-030-06367-2Published: 04 January 2019
eBook ISBN: 978-3-319-92123-5Published: 19 June 2018
Edition Number: 1
Number of Pages: XXIV, 287
Number of Illustrations: 40 b/w illustrations, 91 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Engineering Design, Algorithms