ABSTRACT

Chen, J., 2018. Spectrum features analysis of ocean wind and wave based on fast Fourier transform algorithm. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 418–422. Coconut Creek (Florida), I SSN 0749-0208.

The traditional analysis method for spectrum features of ocean wind and wave, has the problems of the low spectrum feature definition and less total amount of data processing. In order to solve the above problems, a method based on fast Fourier transform is designed to analyze the spectrum features of ocean wind and wave. Through three steps of complex exponential function and its particularity research, Fourier transform and its fast algorithm determination, and spectrum feature estimation of ocean wind and wave, the Fourier transform and spectrum feature analysis are completed. The new method is built by three steps: Spectrum feature extraction, spectrum feature recognition and spectrum feature map generation. The experimental results show that, compared with the traditional method, the new method greatly improves the definition and the total data processing amount of spectrum feature.

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