Crosstalk resistant adaptive noise cancellation.
Presence of signal components in the reference input is detrimental to the performance of practical adaptive noise cancellation systems. Using a modeling approach, we analyse the performance of adaptive noise cancellation in the presence of signal cross talk. We demonstrate a crosstalk resistant adaptive noise cancellation method. After showing that the original signal cannot be recovered if the ability to prevent adaptation does not exist, we discuss the use of a weighted exact least squares lattice algorithm in the joint estimation form, where adaptation can be controlled. Using stimulated data, it is shown that signal can be estimated with good accuracy, even when there is significant signal crosstalk in the reference input.
Madhavan
G
G
Department of Medicine, McMaster University Hamilton, Ontario, Canada.
de Bruin
H
H
D000465:Algorithms; D001698:Biomedical Engineering; D005374:Filtration; D008433:Mathematics; D008962:Models, Theoretical; D013057:Spectrum Analysis