Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms

Recorded geoacoustic signals often contain noise and interference. Their appearance is caused by various reasons, e.g. of propagation environment heterogeneity, weather condition influence, human activity, etc. So, emission a persistent background that changes in intensity over time. This significantly distorts the pulse waveforms thus complicates analysis signal characteristics. The article presents results estimating noise. On basis these estimates, method adaptive wavelet thresholding proposed to remove from recovery single waveforms. In conclusion, computational experiment are presented. They confirm effectiveness using chosen for preprocessing. work was carried out as part implementation state task AAAA-A21-121011290003-0.