Decomposition and reconstruction of multidimensional signals by radial functions with tension parameters
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Publication:1670400
DOI10.1007/s10444-017-9571-7zbMath1396.41017OpenAlexW4302595666MaRDI QIDQ1670400
Milvia Rossini, Mira Bozzini, Christophe Rabut
Publication date: 5 September 2018
Published in: Advances in Computational Mathematics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10281/187942
waveletsmultiresolution analysisradial basis functionsfilterstension parametersgeneralized Whittle-Matérn kernels
Numerical interpolation (65D05) Interpolation in approximation theory (41A05) Approximation by other special function classes (41A30)
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Cites Work
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- Operator-like wavelet bases of \(L_{2}(\mathbb{R}^{d})\)
- Polyharmonic multiresolution analysis: An overview and some new results
- Decomposition and reconstruction of multidimensional signals using polyharmonic pre-wavelets
- On the construction of multivariate (pre)wavelets
- Multiresolution methods in scattered data modelling.
- Analytic wavelets generated by radial functions
- Generalized Whittle-Matérn and polyharmonic kernels
- Green’s Functions: Taking Another Look at Kernel Approximation, Radial Basis Functions, and Splines
- Radial Basis Functions
- Cardinal exponential splines: part I - theory and filtering algorithms
- ON THE ERRORS OF MULTIDIMENSIONAL MRA BASED ON NON-SEPARABLE SCALING FUNCTIONS
- A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures
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