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A Signal Processing Algorithm Based on Parametric Dynamic Programming

  • Andrey Kopylov
  • Olga Krasotkina
  • Oleksandr Pryimak
  • Vadim Mottl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)

Abstract

A new algorithm for low-level signal processing is proposed based on dynamic programming principle. It is shown that it is possible to extend the dynamic programming procedure to the case of continuous variables by introducing the parametric family of Bellman functions, represented as a minimum of a set of quadratic functions. The procedure can take into account a wide range of prior assumptions about the sought-for result, and leads to the effective algorithms of data analysis.

Keywords

dynamic programming edge-preserving smoothing separable optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Andrey Kopylov
    • 1
  • Olga Krasotkina
    • 1
  • Oleksandr Pryimak
    • 2
  • Vadim Mottl
    • 3
  1. 1.Tula State UniversityTulaRussia
  2. 2.Moscow Institute of Physics and TechnologyMoscow RegionRussia
  3. 3.Dorodnicyn Computing Centre of RASMoscowRussia

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