Least-mean-square weighted parallel IIR filters in active-noise-control headphones. Guldenschuh, M. In *2014 22nd European Signal Processing Conference (EUSIPCO)*, pages 1367-1371, Sep., 2014.

Paper abstract bibtex

Paper abstract bibtex

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.

@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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