Graph polynomial filter for signal denoising Waheed, Waseem and Tay, David BH 2018, Graph polynomial filter for signal denoising, IET signal processing, vol. 12, no. 3, pp. 301-309, doi: 10.1049/iet-spr.2016.0700. Attached Files Name Description MIMEType Size Downloads Title Graph polynomial filter for signal denoising Author(s) Waheed, Waseem Tay, David BH orcid.org/0000-0001-5285-7426 Journal name IET signal processing Volume number 12 Issue number 3 Start page 301 End page 309 Total pages 9 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2018-05 ISSN 1751-9675 1751-9683 Keyword(s) eigenvalues and eigenfunctions filtering theory graph theory least squares approximations matrix inversion polynomials signal denoising science & technology technology engineering, electrical & electronic engineering regularisation framework optimisation problem eigendecomposition filter degree inverse eigenvalues low-degree graph polynomial filter vertex localisation time localisation distributed processing Language eng DOI 10.1049/iet-spr.2016.0700 Field of Research 0906 Electrical And Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, The Institution of Engineering and Technology Persistent URL http://hdl.handle.net/10536/DRO/DU:30108118 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 04 May 2018, 09:00:26 EST Sat, 05 May 2018, 05:00:09 EST Mon, 07 May 2018, 08:28:08 EST Sat, 19 May 2018, 02:31:34 EST Sat, 19 May 2018, 02:33:49 EST Tue, 26 Jun 2018, 08:02:03 EST Wed, 27 Jun 2018, 06:03:42 EST Wed, 27 Jun 2018, 10:49:23 EST Wed, 27 Jun 2018, 10:51:16 EST Wed, 27 Jun 2018, 10:51:56 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 35 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 26 Jun 2018, 08:02:03 EST

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