Rapid frequency-domain adaptation of causal FIR filters

@article{Elliott1997RapidFA,
  title={Rapid frequency-domain adaptation of causal FIR filters},
  author={S Elliott and Boaz Rafaely},
  journal={IEEE Signal Processing Letters},
  year={1997},
  volume={4},
  pages={337-339}
}
Normalizing the convergence coefficient of the block frequency-domain least mean square (LMS) algorithm in each frequency bin can improve the convergence rate, but in some applications can lead to a biased steady-state solution if the filter is constrained to be strictly causal. An algorithm is presented in which the spectral factors of the bin-normalized convergence coefficient are used before and after the causality constraint is applied in the adaptation algorithm, which converges rapidly to… CONTINUE READING
3 Extracted Citations
5 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-3 of 3 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-5 of 5 references

Lectures on Wiener and Kalman Filtering

  • T. Kailath
  • 1981
Highly Influential
3 Excerpts

Block adaptive filtering

  • G. A. Clark, S. K. Mitra, S. R. Parker
  • IEEE Int. Symp. Circuits and Systems , Houston…
  • 1980
1 Excerpt

Fast implementation of LMS adaptive filters

  • E. R. Ferrara
  • IEEE Trans. Acoust., Speech, Signal Processing…
  • 1980
1 Excerpt

Similar Papers

Loading similar papers…