Splines: A perfect fit for signal processing

  title={Splines: A perfect fit for signal processing},
  author={Michael Unser},
  journal={2000 10th European Signal Processing Conference},
  • Michael Unser
  • Published 2000 in 2000 10th European Signal Processing Conference
Splines, which were invented by Schoenberg more than fifty years ago [1], constitute an elegant framework for dealing with interpolation and discretization problems. They are widely used in computer-aided design and computer graphics, but have been neglected in signal and image processing applications, mostly as a consequence of what I call the “bad press” phenomenon. Thanks to some recent research efforts in signal processing and wavelet-related techniques, the virtues of splines have been… CONTINUE READING

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Contribution to the problem of approximation of equidistant data by analytic functions

  • I. J. Schoenberg
  • Quart. Appl. Math., vol. 4, pp. 45-99, 112-141…
  • 1946

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