Abstract
This paper describes the concept of adaptive noise cancel- ling, an alternative method of estimating signals corrupted by additive noise or interference. The method uses a “primary” input containing the corrupted signal and a “reference” input containing noise correlated in some unknown way with the primary noise. The reference input is adaptively filtered and subtracted from the primary input to obtain the signal estimate. Adaptive filtering before subtraction allows the treatment of inputs that are deterministic or stochastic, stationary or time variable. Wiener solutions are developed to describe asymptotic adaptive performance and output signal-to-noise ratio for stationary stochastic inputs, including single and multiple reference inputs. Copyright © 1975 by The Institute of Electrical and Electronics Engineers, Inc.
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CITATION STYLE
Widrow, B., Williams, C. S., Glover, J. R., McCool, J. M., Hearn, R. H., Zeidler, J. R., … Goodlin, R. C. (1975). Adaptive Noise Cancelling: Principles and Applications. Proceedings of the IEEE, 63(12), 1692–1716. https://doi.org/10.1109/PROC.1975.10036
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