Show simple item record

dc.contributor.authorMandal, S.
dc.contributor.authorSanilKumar, V.
dc.contributor.authorNayak, B.U.
dc.date.accessioned2009-01-25T06:32:23Z
dc.date.available2009-01-25T06:32:23Z
dc.date.issued1995
dc.identifier.citationFourth International Conference on Coastal and Port Engineering in Developing Countries. Proceedings of the COPEDEC IV, Rio de Janeiro, Brazil, 25-29 September 1995. Vol. 3, 1752-1763p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/2408
dc.description.abstractThe spectral analysis of measured sea waves can efficiently be carried out by the Fast Fourier Transform (FFT) technique. Even though many present techniques can be used for the generation of time series on sea waves from theoretical wave spectra (Pierson-Moskowitz, JONSWAP, etc.), they may not be computationally efficient in providing accurate results for a given application. A more efficient method is therefore described here to generate time series data on sea waves and to provide spectral relationships with minimum loss of information. The random process is expressed by the autoregressive (AR) algorithm which is a polynomial function. The optimal AR polynomial is obtained by using the Akaike information criterion method. The AR parameters of the estimated spectrum are very few in numbers as compared to the number of values of FFT spectrum or time series waves. Hence it provides a potential advantage of storing on-line long-term data on sea waves
dc.language.isoen
dc.publisherBrazilian Water Resources Association, Brazil
dc.rightsCopyright [1995]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subjectwater waves
dc.subjectwave spectra
dc.subjectspectral analysis
dc.subjectmathematical models
dc.subjectalgorithms
dc.titleAutoregressive modelling of measured sea waves off west coast of India
dc.typeConference Article


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record