Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Volume II: Non-Periodic Splines /
This book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak transform (ZT). It expands the methodology from periodic splines, which were presented in the first volume, to non-periodic splines. Together, these books provide a...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Έκδοση: | 1st ed. 2016. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface.-1 Introduction: Signals and Transforms
- 2 Introduction: Digital Filters and Filter Banks
- 3 Mixed Convolutions and Zak Transforms
- 4 Non-Periodic Polynomial Splines
- 5 Quasi-Interpolating and Smoothing Local Splines
- 6 Cubic Local Splines on Non-Uniform Grid
- 7 Splines Computation by Subdivision
- 8 Polynomial Spline-Wavelets
- 9 Non-Periodic Discrete Splines
- 10 Non-Periodic Discrete-Spline Wavelets
- 11 Biorthogonal Wavelet Transforms
- 12 Biorthogonal Wavelet Transforms Originating from Splines
- 13 Data Compression Using Wavelet and Local Cosine Transforms
- 14 Wavelet Frames Generated by Perfect Reconstruction Filter Banks
- 15 Biorthogonal Multiwavelets Originated from Hermite Splines
- 16 Multiwavelet Frames Originated from Hermite Splines
- Appendix A - Guide to Spline SoftN
- Glossary
- Index.