An adaptive finite-impulse-response filter which combines prediction a
nd smoothing is recursively updated using the least-mean-square algori
thm, and is used to cancel the corrupting noise and detect the positio
n of the maximum intensity in the output of a white-light interferomet
ric system. Computer simulations have verified the superiority of this
approach over the more widely used linear predictor.