A Generalised Linear and Nonlinear Spline Filter

Research output: Contribution to journalArticle

14 Citations (Scopus)

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 using an iterated re-weighted least squared method which is also general for both the linear and the nonlinear spline filter. The algorithm has been verified to be effective, efficient and fast.

LanguageEnglish
Pages544-547
Number of pages4
JournalWear
Volume271
Issue number3-4
DOIs
Publication statusPublished - 3 Jun 2011

Fingerprint

splines
Splines
filters

Cite this

@article{e1ea84b95c83489d8ce1ad22f84eca43,
title = "A Generalised Linear and Nonlinear Spline Filter",
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 using an iterated re-weighted least squared method which is also general for both the linear and the nonlinear spline filter. The algorithm has been verified to be effective, efficient and fast.",
keywords = "Generalised Spline Filter, M-Estimation, Nonlinear Filter, Robust Filter, Surface Characterisation",
author = "W. Zeng and X. Jiang and P. Scott",
year = "2011",
month = "6",
day = "3",
doi = "10.1016/j.wear.2010.04.010",
language = "English",
volume = "271",
pages = "544--547",
journal = "Wear",
issn = "0043-1648",
publisher = "Elsevier BV",
number = "3-4",

}

A Generalised Linear and Nonlinear Spline Filter. / Zeng, W.; Jiang, X.; Scott, P.

In: Wear, Vol. 271, No. 3-4, 03.06.2011, p. 544-547.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Generalised Linear and Nonlinear Spline Filter

AU - Zeng, W.

AU - Jiang, X.

AU - Scott, P.

PY - 2011/6/3

Y1 - 2011/6/3

N2 - 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 using an iterated re-weighted least squared method which is also general for both the linear and the nonlinear spline filter. The algorithm has been verified to be effective, efficient and fast.

AB - 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 using an iterated re-weighted least squared method which is also general for both the linear and the nonlinear spline filter. The algorithm has been verified to be effective, efficient and fast.

KW - Generalised Spline Filter

KW - M-Estimation

KW - Nonlinear Filter

KW - Robust Filter

KW - Surface Characterisation

UR - http://www.scopus.com/inward/record.url?scp=79957480543&partnerID=8YFLogxK

U2 - 10.1016/j.wear.2010.04.010

DO - 10.1016/j.wear.2010.04.010

M3 - Article

VL - 271

SP - 544

EP - 547

JO - Wear

T2 - Wear

JF - Wear

SN - 0043-1648

IS - 3-4

ER -