International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Automatic classification of seismic sources finds vast application security domain. Due to restricted computational power in the edge devices a robust and less complex features need to be extracted and sent to appropriate classifier. Such features are histograms of oriented gradients. It represented the relative spectral distribution of derivative of amplitude against frequency instead of average spectral envelope.

The paper addresses the problem of acoustic signal classification and report the current state of the art in the field. More specifically the paper sheds light on the mathematical apparatus behind one specific method used for classification of sound sources – SVM (support vector machines). As well we propose use of histogram of oriented gradients (HOG) as features descriptor and explain how they work.