An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour

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dc.contributor.author Halliday, John en_US
dc.contributor.author Dorrell, David en_US
dc.contributor.author Wood, Alan en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T10:29:56Z
dc.date.available 2012-02-02T10:29:56Z
dc.date.issued 2011 en_US
dc.identifier 2010001930 en_US
dc.identifier.citation Halliday John, Dorrell David, and Wood Alan 2011, 'An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour', Pergamon, vol. 36, no. 6, pp. 1685-1692. en_US
dc.identifier.issn 0960-1481 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15239
dc.description.abstract This paper examines the appropriateness of the Fast Fourier Transform for decomposition and reconstruction of wave records taken at fixed locations and transposed to a different temporal and spatial point. In marine renewable energy, advanced control methods based on the future prediction of waves are being developed. These methods are based on the assumption that a forward looking prediction is available and over the years there has been a conjecture that the FFT may perform this role and that the prediction of wave behaviour at any point on the sea surface should be realizable. The validity of this statement is tested using numerical wave records. en_US
dc.language en_US
dc.publisher Pergamon en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.renene.2010.11.035 en_US
dc.title An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour en_US
dc.parent Renewable Energy en_US
dc.journal.volume 36 en_US
dc.journal.number 6 en_US
dc.publocation United Kingdom en_US
dc.identifier.startpage 1685 en_US
dc.identifier.endpage 1692 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 090600 en_US
dc.personcode 0000066742 en_US
dc.personcode 105721 en_US
dc.personcode 0000066743 en_US
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Fourier transform, Wave prediction, Dispersion relationship, Non-harmonic modelling en_US


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