Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms

• DOI

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, geoacoustic
emission signals contain a persistent background noise that changes in intensity over time. This noise significantly distorts the geoacoustic pulse waveforms and thus complicates analysis of the signal characteristics. The article presents
results of estimating the geoacoustic signal background noise. On the basis of these estimates, a method of adaptive wavelet thresholding is proposed to remove noise from the signal and recovery the single pulse waveforms. In conclusion, the results of a computational experiment are presented. They confirm effectiveness of using the chosen method for the geoacoustic signal preprocessing. The work was carried out as part of the implementation of the state task AAAA-A21-121011290003-0.

Lukovenkova O.O. Application of adaptive wavelet thresholding to recovery geophysical signal pulse waveforms // Solar-terrestrial relations and physics of earthquakes precursors: XII International Conference, Paratunka, Kamchatka, September 27 – October 1, 2021: Book of Abstracts. – Paratunka: IKIR FEB RAS, 2021. - p. 125-126. DOI: 10.1051/epjconf/202125402004