Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Volume I: Periodic Splines /
This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications. It is done with discrete and polynomial periodic splines. Various contributions of splines to signal and image processing from a unified perspective are presen...
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| Autor principal: | |
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2014.
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| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-94-017-8926-4 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- 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.