INVESTIGATION OF SIGNAL ANALYSIS METHODS FOR FULL OR PARTIAL OVERLAP IN MODERN INFORMATION AND COMMUNICATION SYSTEMS
The article examines modern methods for recognizing and analyzing radio signals with partial and complete spectral overlap, which represent one of the key and most complex problems in the field of radio monitoring, telecommunications, and technical intelligence. It describes the theoretical foundations and practical aspects of applying the Fast Fourier Transform method, the principal component analysis method, and the independent component analysis method for separating, identifying, and classifying signals in complex conditions.