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Superior LMS-based technique for white-light interferometric systems

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4 Author(s)
Romare, D. ; Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK ; Rizk, M.S. ; Grattan, K.T.V. ; Palmer, A.W.

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.

Published in:

Photonics Technology Letters, IEEE  (Volume:8 ,  Issue: 1 )

Date of Publication:

Jan. 1996

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