https://doi.org/10.1051/epjconf/202125402004
Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, Laboratory of Acoustic Research, Mirnaya str., 7, Paratunka, Kamchatskiy kray, 684034, Russia
* e-mail: o.o.lukovenkova@yandex.ru
Published online: 8 November 2021
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
