Title :
Improved tracking adaptive noise canceler for nonstationary environments
Author :
Wallace, R.B. ; Goubran, R.A.
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
fDate :
3/1/1992 12:00:00 AM
Abstract :
The performance of multiple reference adaptive noise cancelers is investigated and a new filter structure is proposed that provides better tracking in the multipath, multisource, nonstationary automobile noise environment studied. The filter uses the least mean square (LMS) algorithm with multiple filtering stages and subbanded sections to improve the overall tracking performance while maintaining filter stability
Keywords :
adaptive filters; automobiles; digital filters; noise abatement; tracking; LMS algorithm; adaptive filters; filter stability; filter structure; least mean square; multipath environment; multisource environment; nonstationary automobile noise; nonstationary environments; reference adaptive noise cancelers; tracking performance; Adaptive filters; Automobiles; Band pass filters; Finite impulse response filter; Microphones; Noise cancellation; Noise reduction; Signal processing; Speech enhancement; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
