Title :
A soft-constrained recursive-like adaptive noise canceller
Author_Institution :
University of California, Davis, CA
fDate :
4/1/1981 12:00:00 AM
Abstract :
The adaptive adjustment algorithm for a prior art recursive-like noise canceller must incorporate a constraint that prevents convergence to the useless trivial solution. This constraint can also prevent convergence to the best attainable solution. An alternative to the prior-art hard-constrained recursive-like canceller, that "softens" the constraint by making it adaptive, is proposed.
Keywords :
Art; Distortion; Equations; Matched filters; Noise cancellation; Poles and zeros; Predistortion; Roentgenium; Signal to noise ratio; System identification;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1981.12008