Published June 2013

Smoothing algorithms for characteristics of seismic-acoustic signals

F.G. Pashaev

Algorithms for smoothing of seismic-acoustic signals characteristics received from Robust Noise Monitoring (RNM) stations for monitoring of Anomalous Seismic Processes (ASP) are analyzed. The smoothing algorithms based on wavelet transformations with Daubechies- 4 with Fourier series expansion of input data and on RNM Technologies are presented. The results of software unit operation implementing pointed out algorithms are given. Developed algorithms and software module are able to be applied in composition of information-measuring complexes mathematical software complex of oil and gas wells oil production and geophysical studies.