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Spline and spline wavelet methods wi...
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Averbuch, Amir Z.
Spline and spline wavelet methods with applications to signal and image processing.Volume III,Selected topics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Spline and spline wavelet methods with applications to signal and image processing.by Amir Z. Averbuch, Pekka Neittaanmaki, Valery A. Zheludev.
remainder title:
Selected topics
Author:
Averbuch, Amir Z.
other author:
Neittaanmaki, Pekka.
Published:
Cham :Springer International Publishing :2019.
Description:
xxiv, 287 p. :ill. (some col.) , digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Spline theory.
Online resource:
http://dx.doi.org/10.1007/978-3-319-92123-5
ISBN:
9783319921235$q(electronic bk.)
Spline and spline wavelet methods with applications to signal and image processing.Volume III,Selected topics
Averbuch, Amir Z.
Spline and spline wavelet methods with applications to signal and image processing.
Volume III,Selected topics[electronic resource] /Selected topicsby Amir Z. Averbuch, Pekka Neittaanmaki, Valery A. Zheludev. - Cham :Springer International Publishing :2019. - xxiv, 287 p. :ill. (some col.) , digital ;24 cm.
Chapter 1. Introduction: Periodic Signals and Filters -- Chapter 2. Periodic Polynomial Splines -- Chapter 3. Periodic Discrete and Discrete-time Splines -- Chapter 4. Periodic Orthogonal Wavelets and Wavelet Packets -- Chapter 5. Two-dimensional Orthogonal Wavelets and Wavelet Packets -- Chapter 6. Local Splines on Non-uniform Grid -- Chapter 7. Spline-based Wavelet Transforms -- Chapter 8. Biorthogonal Wavelet Transforms Originating from Discrete and Discrete-time Splines -- Chapter 9. Wavelet Frames Generated by Spline-based p-filter Banks -- Chapter 10. Snapshot Spectral Imaging -- Chapter 11. Delineation of Malignant Skin Tumors by Hyperspectral Imaging -- Chapter 12. Acoustic Detection of Moving Vehicles -- Chapter 13. Detection of Incipient Bearing Fault in a Slowly Rotating Machine Using Spline Wavelet Packets.
This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets and wavelet frames in signal and image processing applications. In self-contained form, it briefly outlines a broad range of polynomial and discrete splines with equidistant nodes and their signal-processing-relevant properties. In particular, interpolating, smoothing, and shift-orthogonal splines are presented.
ISBN: 9783319921235$q(electronic bk.)
Standard No.: 10.1007/978-3-319-92123-5doiSubjects--Topical Terms:
229127
Spline theory.
LC Class. No.: QA224 / .A947 2019
Dewey Class. No.: 511.4223
Spline and spline wavelet methods with applications to signal and image processing.Volume III,Selected topics
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Chapter 1. Introduction: Periodic Signals and Filters -- Chapter 2. Periodic Polynomial Splines -- Chapter 3. Periodic Discrete and Discrete-time Splines -- Chapter 4. Periodic Orthogonal Wavelets and Wavelet Packets -- Chapter 5. Two-dimensional Orthogonal Wavelets and Wavelet Packets -- Chapter 6. Local Splines on Non-uniform Grid -- Chapter 7. Spline-based Wavelet Transforms -- Chapter 8. Biorthogonal Wavelet Transforms Originating from Discrete and Discrete-time Splines -- Chapter 9. Wavelet Frames Generated by Spline-based p-filter Banks -- Chapter 10. Snapshot Spectral Imaging -- Chapter 11. Delineation of Malignant Skin Tumors by Hyperspectral Imaging -- Chapter 12. Acoustic Detection of Moving Vehicles -- Chapter 13. Detection of Incipient Bearing Fault in a Slowly Rotating Machine Using Spline Wavelet Packets.
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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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