Critical comparison of Hankel-norm optimal approximation and balanced model truncation algorithms as vehicles for FIR-to-IIR filter order reduction

@article{Beliczynski1994CriticalCO,
  title={Critical comparison of Hankel-norm optimal approximation and balanced model truncation algorithms as vehicles for FIR-to-IIR filter order reduction},
  author={Bartlomiej Beliczynski and Jeremi Gryka and Izzet Kale},
  journal={Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={1994},
  volume={iii},
  pages={III/593-III/596 vol.3}
}
  • Bartlomiej Beliczynski, Jeremi Gryka, Izzet Kale
  • Published in
    Proceedings of ICASSP '94…
    1994
  • Mathematics, Computer Science
  • In this paper two powerful methods of FIR-to-IIR filter order reduction are presented and compared: truncation of balanced model and Hankel-norm optimal approximation. Conclusions based on very many filter order reduction runs indicate that balanced model truncation is often preferrable.<<ETX>> 

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