Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume III: Selected Topics
Author:   Amir Z. Averbuch ,  Pekka Neittaanmäki ,  Valery A. Zheludev
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2019
ISBN:  

9783319921228


Pages:   287
Publication Date:   09 July 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume III: Selected Topics


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Overview

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.  

Full Product Details

Author:   Amir Z. Averbuch ,  Pekka Neittaanmäki ,  Valery A. Zheludev
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2019
Weight:   5.215kg
ISBN:  

9783319921228


ISBN 10:   3319921223
Pages:   287
Publication Date:   09 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Introduction.- 2 Preliminaries.- Outline of the polynomial and discrete splines and SHA.- Outline of spline-based filters and filter banks.- Outline of the design of biorthogonal wavelets and multiwavelets.- Outline of the wavelet frames design and implementation.- 3 Signal/image processing applications.- Upsampling of signals/images.- Deconvolution.- Compressed sensing.- Data compression.- Acoustic classification and target detection.- Delineation of malignant skin tumors by hyperspectral imaging.

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)


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