On 2-D Digital Filter Design by the Adaptive Differential Correction Algorithm

  • G. Calvagno
Part of the International Centre for Mechanical Sciences book series (CISM, volume 307)


This work reports on a 2-D recursive digital filter design procedure based on magnitude squared approximation in minimax norm followed by stabilization. The magnitude squared function is designed with a new version of the adaptive differential-correction algorithm and the stabilization is obtained by means of spectral factorization. The proposed procedure has shown itself to be effective and robust after extensive testing. Several filter design examples illustrating its main features are presented.


Filter Design Spectral Factorization Constraint Point Recursive Filter Speech Signal Processing 
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-Verlag Wien 1989

Authors and Affiliations

  • G. Calvagno
    • 1
  1. 1.Università di PadovaPadovaItaly

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