Fourier transform (FT) is a commonly used method in spectral analysis of ocean wave and offshore structure responses,but it is not suitable for records of short length.In this paper another method,wavelet transform (WT),is applied to analyze the data of short length.The Morlet wavelet is employed to calculate the spectral density functions for wave records and simulated Floating Production Storage and Offloading (FPSO) vessels’ responses.Computed wave data include simulated wave data based on JONSWAP spectrum and the recorded data of Storm 149 from North Alwyn.Wavelet method is validated by comparing the statistical characteristics by WT method and those by fast Fourier transform (FFT) method with those of target spectra.The spectral density functions’ shapes calculated by WT are less malformed and have less error of statistical characteristics compared with those by FT especially when the record lengths decrease. Fourier transform (FT) is a commonly used method in spectral analysis of ocean waves and offshore structure responses, but it is not suitable for records of short length. In this paper another method, wavelet transform (WT), is applied to analyze the data of short length. The Morlet wavelet is employed to calculate the spectral density functions for wave records and simulated Floating Production Storage and Offloading (FPSO) vessels’ responses. Computed wave data includes simulated wave data based on JONSWAP spectrum and the recorded data of Storm 149 from North Alwyn. Wavelet method is validated by comparing the statistical characteristics by WT method and those by fast Fourier transform (FFT) method with those of target spectra. The spectral density functions’ shapes calculated by WT are less malformed and have less error of statistical characteristics compared with those by FT especially when the record lengths decrease.