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Spline-based deconvolution Amir Averbuch , Valery Zheludev
 

Summary: Spline-based deconvolution
Amir Averbuch , Valery Zheludev
School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
a r t i c l e i n f o
Article history:
Received 27 July 2008
Received in revised form
15 March 2009
Accepted 18 March 2009
Available online 5 April 2009
Keywords:
Spline deconvolution
2D data
Noised data
Harmonic analysis
Approximate solutions
a b s t r a c t
This paper proposes robust algorithms to perform deconvolution and inversion of the
heat equation starting from 1D and 2D discrete noised data. The solutions are provided
as splines that minimize some parameterized quadratic functionals. Parameters choice

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences