Title :
Least-mean-square weighted parallel IIR filters in active-noise-control headphones
Author :
Guldenschuh, Markus
Author_Institution :
Inst. of Electron. Music & Acoust., Univ. of Music & Performing Arts Graz, Graz, Austria
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 :
IIR filters; active noise control; adaptive filters; headphones; least mean squares methods; transversal filters; active-noise-control headphones; adaptation weights; adaptive transversal-filter; ear-cups; incident noise; least-mean-square weighted parallel IIR filters; parallel adaptive linear combiner; parallel structure; primary-path variations; secondary-path variations; Finite impulse response filters; Headphones; Least squares approximations; Microphones; Noise; Principal component analysis; Vectors; Adaptive linear combiner; adaptive filter; noise control headphones;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon