Digital Filter Design with Constraints in Time and Frequency Domains

  • Norbert Henzel
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 30)


This paper describes a new method for design of linear phase finite impulse response (FIR) filters. This new approach, based on the ε-insensitive loss function, allows the design process to take into account not only constraints specified in the frequency domain, but also constraints on the output, time domain, signal. The performances of the proposed approach are shortly illustrated with a design of a highpass filter used for ECG baseline wander reduction.


Finite Impulse Response Digital Filter Filter Design Finite Impulse Response Filter Support Vector Regression Machine 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Łeski J (2002), Computationally effective algorithm to the ε-insensitive fuzzy clustering, System Science, 28(3):31–50.Google Scholar
  2. 2.
    Łeski J (2003), Towards a robust fuzzy clustering. Fuzzy Sets and Systems, 137:215–233.Google Scholar
  3. 3.
    Schölkopf B, et al. (1997), Comparing support vector machines with gaussian kernels to radial basis function classifiers, IEEE Trans. Sign. Processing, 45:2758–2765.CrossRefGoogle Scholar
  4. 4.
    Drucker H, et al. (1997), Support vector regression machines. In M. Mozer et al., (eds), Advances in Neural Information Processing Systems 9, MIT Press, Cambridge.Google Scholar
  5. 5.
    Vapnik V (1982), Estimation of Dependences Based on Empirical Data. Springer-Verlag, Berlin.zbMATHGoogle Scholar
  6. 6.
    Vapnik V (1998), Statistical Learning Theory. Wiley, New York.zbMATHGoogle Scholar
  7. 7.
    Parks T, McClellan J (1972), A program for the design of linear phase finite impulse response digital filters. IEEE Transactions on Audio and Electroacoustics, 20(3):195–199.CrossRefMathSciNetGoogle Scholar
  8. 8.
    McClellan J, Parks T (1973), A united approach to the design of optimum FIR linear-phase digital filters. IEEE Transactions on Circuits and Systems, 20(6):697–701.Google Scholar
  9. 9.
    McClellan J, Parks T, Rabiner L (1973), A computer program for designing optimum FIR linear phase digital filters. IEEE Transactions on Audio and Electroacoustics, 21(6):506–526.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Norbert Henzel
    • 1
  1. 1.Institute of ElectronicsSilesian University of TechnologyGliwicePoland

Personalised recommendations