Hearing aid modeling with adaptive nonlinear filters

  • Ranga Rodrigo Dept. of Electrical and Computer Engg., University of Western Ontario, London, Ont. N6A 5B9, Canada
  • Zhenhe Chen Dept. of Electrical and Computer Engg., University of Western Ontario, London, Ont. N6A 5B9, Canada
  • Vijay Parsa Dept. of Electrical and Computer Engg., University of Western Ontario, London, Ont. N6A 5B9, Canada
  • Jagath Samarabandu Dept. of Electrical and Computer Engg., University of Western Ontario, London, Ont. N6A 5B9, Canada
Keywords: Computer simulation, Hearing aids, Nonlinear filtering, Signal to noise ratio, Adaptive nonlinear filters, Modeling devices, Nonlinear coefficients, Nonlinearity

Abstract

The performance of nonlinear adaptive filters in modeling devices with mild and moderately strong nonlinearities such as hearing aids was investigated. The existence on nonlinearities in hearing aids and that nonlinear adaptive filters were better suited for hearing aid modeling compared to their linear counterparts with equal number of filter coefficients. The signal to noise ratio improvement in modeling showed improvements in the range of 5% to 50%. The results suggested that as the nonlinearity of the device becomes stronger, a larger number of nonlinear coefficients should be used.
Published
2005-09-01
How to Cite
1.
Rodrigo R, Chen Z, Parsa V, Samarabandu J. Hearing aid modeling with adaptive nonlinear filters. Canadian Acoustics [Internet]. 2005Sep.1 [cited 2019Sep.19];33(3):60-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1745
Section
Proceedings of the Acoustics Week in Canada