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A Generalised Linear and Nonlinear Spline filter

By Wenhan Zeng, Xiang Jiang and Paul J. Scott

Abstract

In this paper, a generalised spline filter, that has a unified description for both the linear spline filter and the nonlinear robust spline filter, is proposed. Based on the M-estimation theory, the general spline filter model can be solved by using an Iterated Reweighted Least Squared method which is also general for both the linear and nonlinear spline filter. The algorithm has been verified to be effective, efficient and fast

Topics: TS
OAI identifier: oai:eprints.hud.ac.uk:4028

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Citations

  1. A Fast Algorithm for the High Order Linear and Nonlinear Gaussian Regression filter,
  2. (2005). A robust spline filter on the basis of L2-norm, Precision engineering, 29 doi
  3. Accessing roughness in three-dimensions using Gaussian regression filter, doi
  4. Form filtering by splines, doi
  5. (2005). Linear and robust gaussian regression filters, doi
  6. Paradigm shifts in surface metrology Part I: historical philosophy, doi
  7. Robust profile filters: Spline filters. doi

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