Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring

Aykroyd, RG orcid.org/0000-0003-3700-0816, Barber, S orcid.org/0000-0002-7611-7219 and Miller, LR (2016) Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring. Computational Statistics and Data Analysis, 94. pp. 351-362. ISSN 0167-9473

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Copyright, Publisher and Additional Information: © 2015 Elsevier B.V. This is an author produced version of a paper published in Computational Statistics and Data Analysis. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Electrical tomography; Logistic regression; Process control; Remote sensing; Wavelets
Dates:
  • Published: February 2016
  • Accepted: 22 July 2015
  • Published (online): 29 July 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 30 Jul 2015 09:51
Last Modified: 03 Mar 2020 13:26
Published Version: http://dx.doi.org/10.1016/j.csda.2015.07.009
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.csda.2015.07.009

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