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


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

Volume III: Selected Topics

von: Amir Z. Averbuch, Pekka Neittaanmäki, Valery A. Zheludev

96,29 €

Verlag: Springer
Format: PDF
Veröffentl.: 19.06.2018
ISBN/EAN: 9783319921235
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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.&nbsp;</p><p>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.&nbsp;&nbsp;</p><div><br></div><p><br></p><p><br></p><p><br></p>
<p>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.</p>
<div>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.&nbsp;</div><div><br></div><div>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.&nbsp;&nbsp;</div><div><br></div>
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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