Determining the Type of Interference in a Receiving Antenna Using Machine Learning in Fog Computing Environments

This article describes a small view of the interference type in the receiving antenna. The new opportunities of computing vision for the conception of oscillograms for a specialist in digital signal processing are described. A new approach is proposed for the interaction of a specialist in digital signal processing and interference with pattern recognition using a smartphone. According to three standards, at the design stage, a description of the architecture of the proposed system is given. An approach for a smartphone has been created and viewed. Efficiency of using fog and cloud computing to determine types of interference using pattern recognition has been proven, and specific examples are provided.