L.I. Dvoiris - Dr. Sc. (Eng.), Professor P.V. Potapov

The authors solves the problem of finding an invariant feature space in signals of seismic detection systems. Considered indicative of time and frequency domain. By adjusting the parameters of the classifier authors were able to ensure the invariance feature space in the time domain and establish so-called «seasonal scale factors». Proved that the impact of seasonal factors on the classification results in the frequency domain is small compared with the main factor - the presence of the intruder.

 

1. CHistova G.K. Modeli i metody obrabotki sejjsmicheskikh signalov v sistemakh raspoznavanija: monografija. Penza: Penz. gos. un‑t. 2003.
2. KHokhlov V.K., Kandidatov I.A. Issledovanie vlijanija svojjstv grunta na kharakteristiki sejjsmicheskikh signalov // Vestnik MGTU im. N.EH. Baumana. 2013. № 1. S. 23−36.
3. Dvojjris L.I.,Lucenko V.A.,Gerashhenkov D.V. Mashiny opornykh vektorov v zadachakh raspoznavanija obrazov. Kaliningrad: FGOU VPO «KPI». 2010.
4. Dvojjris L.I., Gerashhenkov V.A. Ocenka tochnosti i nadezhnosti raspoznanija obektov po signalam sejjsmicheskikh obnaruzhitelejj metodom SVM vo vremennojj i chastotnojj oblastjakh // Radiotekhnika. 2012. № 1. S. 12−17.