Title :
System identification techniques for adaptive noise cancelling
Author :
Friedlander, Benjamin
Author_Institution :
Systems Control Technology, Inc., Palo Alto, CA
fDate :
10/1/1982 12:00:00 AM
Abstract :
A general form of a noise canceller is derived, using a signal modeling approach. The proposed structure combines two infinite impulse response filters: a noise canceller and a line enhancer. A recursive prediction error algorithm is used to adaptively estimate the filter coefficients. Preliminary simulation results on the performance of the generalized adaptive noise canceller are presented.
Keywords :
Adaptive filters; Additive noise; Finite impulse response filter; Noise cancellation; Noise measurement; Nonlinear filters; Prediction algorithms; Recursive estimation; Signal processing algorithms; System identification;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1982.1163947
