Superior LMS-based technique for white-light interferometric systems

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