Wavelet denoising method with a novel wavelet threshold function applied in denoising ship maneuvering test data

Abstract

Based on the classical wavelet threshold functions, a wavelet denoising method with a novel wavelet threshold function is proposed for denoising the data from ship maneuvering tests. The wavelet denoising methods combined with the hard-threshold function, the soft-threshold function and the proposed wavelet threshold function are applied respectively to denoise the polluted 20°/20° zigzag test data which are obtained by adding some random noise into the simulated 20°/20° zigzag test data. Comparison of the denoising errors shows that the proposed wavelet threshold function is superior to the hard-threshold function and the soft-threshold function, and the wavelet denoising method combined with the proposed wavelet threshold function is a promising method to denoise the data of ship maneuvering tests.