Pre-processing data and window function testing on wave spectrum analysis

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S. Panalaran, Suntoyo, Aries Sulisetyono

2024 IOP Conference Series: Earth and Environmental Science Vol. 1298 Issue 1 Conference paper Cited by 5 SDG 14SDG 17 Quartile

Abstract

Pre-processing data in oceanographic data research is an important step in processing data into the required information. This phase often takes longer and more rigorous time to present the correct data. Data pre-processing involves the selection of data, and the modification of data so that it can be readable in a computational algorithm. The data selection process includes selection of sample numbers, correction and filling of data gaps.The data used in spectrum analysis is the recording of the water surface profile of the wave in the data resolution of 1 second. The data needs to be corrected by the process of detrending against the tidal height which become the still water level. The spectral analysis is processed using the pwelch function on MATLAB. The frequency spectrum curve of the measurement is obtained from the calculation of the power spectral density value. In order to obtain a stable power spectral density curve, the Hann window function is used with the number of window elements, nfft/16. © Published under licence by IOP Publishing Ltd.

Affiliations

Ocean Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia; Naval Architecture Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia; Regional and Infrastructure Technology Department, Institut Teknologi Sumatera, South Lampung, Indonesia

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