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Adaptive Filtering

  • Gösta H. Granlund
  • Hans Knutsson
Chapter

Abstract

This chapter presents a computationally efficient technique for adaptive filtering of N-dimensional signals. The approach is based on the local signal description given by the orientation tensor discussed in chapter 6. The adaptive filter is synthesized as a tensor-controlled weighted summation of shift-invariant filters.

Keywords

Test Pattern Adaptive Filter Kernel Size Filter Function Orientation Tensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1995

Authors and Affiliations

  • Gösta H. Granlund
    • 1
  • Hans Knutsson
    • 1
  1. 1.Linköping UniversitySweden

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