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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing

Volume III: Selected Topics

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  • © 2019

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.  






Reviews

“This book is well-written and contains numerous examples and figures. It is very convenient for broad readership of students and researchers in applied mathematics, computer science, physics, and engineering. Doubtless, these volumes will stimulate the applications of spline-based wavelet methods.” (Manfred Tasche, zbMATH 1398.65004, 2018)​

Authors and Affiliations

  • School of Computer Science, Tel Aviv University , Tel Aviv, Israel

    Amir Z. Averbuch

  • Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Pekka Neittaanmäki

  • School of Computer Science, Tel Aviv University, Tel Aviv, Israel

    Valery A. Zheludev

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

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