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System identification techniques for adaptive noise cancelling

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1 Author(s)
B. Friedlander ; Systems Control Technology, Inc., Palo Alto, CA

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.

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:30 ,  Issue: 5 )