Spline Basis Functions
Spline Basis Functions is a mathematical construct in approximation theory that consists of a set of piecewise polynomial functions with local support and continuity properties, specifically designed to form a basis for the vector space of spline functions, enabling the representation of smooth curves and surfaces in a flexible and controllable manner.
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Multivariate Adaptive Regression Splines
Jerome H. Friedman · The Annals of Statistics · 1991 · 8.1K citations · Full text
Smoothing noisy data with spline functions
Peter G. Craven, Grace Wahba · Numerische Mathematik · 1978 · 3.4K citations
Spline Functions: Basic Theory.
Philip W. Smith, Larry L. Schumaker · Mathematics of Computation · 1982 · 2.5K citations
Natural Sciences, Computational Engineering, Mathematics +17
Splines: a perfect fit for signal and image processing
Michaël Unser · IEEE Signal Processing Magazine · 1999 · 1.6K citations · Full text
Smoothing noisy data with spline functions
Grace Wahba · Numerische Mathematik · 1975 · 1.5K citations
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
23 h-index
67 publications
7.8K citations
University of Wisconsin–Madison
Madison, United States
22 h-index
43 publications
6.4K citations

Centre National de la Recherche Scientifique
Paris, France
18 h-index
70 publications
4.3K citations

Vanderbilt University
Nashville, United States
18 h-index
29 publications
4.2K citations
University of Sargodha
Sargodha, Pakistan
16 h-index
39 publications
1.1K citations
Texas A&M University
College Station, United States
16 h-index
33 publications
2.7K citations

University of Trieste
Trieste, Italy
15 h-index
48 publications
2.2K citations
KU Leuven
Leuven, Belgium
12 h-index
26 publications
1.5K citations
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50 publications · 1.5K citations
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MCOM · 34 publications · 5.9K citations
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40 publications · 1.7K citations
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69 publications · 2.1K citations
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