Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494513
Title: Denoising the CN tower lightning current derivative signals using adaptive techniques
Author: Nedjah, Ouarda
ISNI:       0000 0001 3440 4984
Awarding Body: University of Hertfordshire
Current Institution: University of Hertfordshire
Date of Award: 2008
Availability of Full Text:
Access through EThOS:
Abstract:
Lightning is a natural phenomenon that may be devastating and destructive for our modern life essentially based on electrical, electronic, communication and networking devices. While more than five hundred flashes with different intensities may strike the surface of the earth each second, a single lightning flash may destroy an electric, a telecommunication or a networking transmission line, which may cause a huge economical loss. This destructive effect of lightning is one of the reasons that led to the study of hghtning from the seventies. This thesis deals with denoisiiig the lightning current derivative signals recorded at the CN Tower using the adaptive techniques.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.494513  DOI: Not available
Share: