An signal denoising method based on modified wavelet threshold filtering for ocean depth

Abstract

Due to ocean environmental noises, the technique for seafloor topography surveying may not availably distinguish true seafloor topography information from noisy echo-sounding signal. Based on Neyman-Pearson criterion and singularity detecting technology through wavelet transform, an optimal wavelet threshold filtering algorithm (OWTF) was proposed to denoise the echo-sounding signal. Echo-sounding data experimental result shows that compared with the traditional approach, OWTF algorithm may mitigate the errors in conventional filtering method, while enhance the utilization ratio of depth information. © 2011 Springer-Verlag Berlin Heidelberg.