• DocumentCode
    1079173
  • Title

    Superior LMS-based technique for white-light interferometric systems

  • Author

    Romare, D. ; Rizk, M. Sabry ; Grattan, K.T.V. ; Palmer, A.W.

  • Author_Institution
    Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK
  • Volume
    8
  • Issue
    1
  • fYear
    1996
  • Firstpage
    104
  • Lastpage
    106
  • Abstract
    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.
  • Keywords
    adaptive filters; least mean squares methods; light interferometers; optical filters; optical noise; LMS-based technique; adaptive finite-impulse-response filter; computer simulations; corrupting noise; least-mean-square algorithm; linear predictor; maximum intensity; white-light interferometric systems; Adaptive filters; Charge coupled devices; Least squares approximation; Light sources; Noise cancellation; Optical fiber sensors; Optical interferometry; Photonics; Signal to noise ratio; Smoothing methods;
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/68.475793
  • Filename
    475793