1 Introduction: Signals and transforms
2 Introduction: Periodic filters and filter banks
3 Mixed circular convolutions and Zak transforms
4 Periodic polynomial splines
5 Polynomial smoothing splines
6 Calculation of splines values by subdivision
7 Spline algorithms for deconvolution and inversion of heat equation
8 Periodic spline wavelets and wavelet packets
9 Discrete-time periodic wavelet packets
10 Deconvolution by regularized matching pursuit
11 Block-based inversion of the heat equations
12 Hydro-acoustic target detection
13 Periodic discrete splines
14 Discrete periodic spline wavelets and wavelet Packets
15 Biorthogonal wavelet transforms
16 Biorthogonal wavelet transforms originating from splines
17 Wavelet frames generated by spline based p-filter banks
18 Application of periodic frames to image restoration
Appendix: Guide to SplineSoftP
Glossary
Index
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