@InProceedings{6952493,
  author = {M. Guldenschuh},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Least-mean-square weighted parallel IIR filters in active-noise-control headphones},
  year = {2014},
  pages = {1367-1371},
  abstract = {Adaptive filters in noise control applications have to approximate the primary path and compensate for the secondary-path. This work shows that the primary- and secondary-path variations of noise control headphones depend above all on the direction of incident noise and the tightness of the ear-cups. Both kind of variations are investigated by preliminary measurements, and it is further shown that the measured variations can be approximated with the linear combination of only a few prototype filters. Thus, a parallel adaptive linear combiner is suggested instead of the typical adaptive transversal-filter. Theoretical considerations and experimental results reveal that the parallel structure performs equally well, converges even faster, and requires fewer adaptation weights.},
  keywords = {active noise control;adaptive filters;headphones;IIR filters;least mean squares methods;transversal filters;least-mean-square weighted parallel IIR filters;active-noise-control headphones;secondary-path variations;primary-path variations;incident noise;ear-cups;parallel adaptive linear combiner;adaptive transversal-filter;parallel structure;adaptation weights;Headphones;Noise;Finite impulse response filters;Principal component analysis;Vectors;Least squares approximations;Microphones;Adaptive linear combiner;adaptive filter;noise control headphones},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569909681.pdf},
}

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Both kind of variations are investigated by preliminary measurements, and it is further shown that the measured variations can be approximated with the linear combination of only a few prototype filters. Thus, a parallel adaptive linear combiner is suggested instead of the typical adaptive transversal-filter. Theoretical considerations and experimental results reveal that the parallel structure performs equally well, converges even faster, and requires fewer adaptation weights.","keywords":"active noise control;adaptive filters;headphones;IIR filters;least mean squares methods;transversal filters;least-mean-square weighted parallel IIR filters;active-noise-control headphones;secondary-path variations;primary-path variations;incident noise;ear-cups;parallel adaptive linear combiner;adaptive transversal-filter;parallel structure;adaptation weights;Headphones;Noise;Finite impulse response filters;Principal component analysis;Vectors;Least squares approximations;Microphones;Adaptive linear combiner;adaptive filter;noise control headphones","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569909681.pdf","bibtex":"@InProceedings{6952493,\n author = {M. Guldenschuh},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Least-mean-square weighted parallel IIR filters in active-noise-control headphones},\n year = {2014},\n pages = {1367-1371},\n abstract = {Adaptive filters in noise control applications have to approximate the primary path and compensate for the secondary-path. This work shows that the primary- and secondary-path variations of noise control headphones depend above all on the direction of incident noise and the tightness of the ear-cups. Both kind of variations are investigated by preliminary measurements, and it is further shown that the measured variations can be approximated with the linear combination of only a few prototype filters. Thus, a parallel adaptive linear combiner is suggested instead of the typical adaptive transversal-filter. 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