Modeling the Spectral Characteristics of Audio Signals Using the Fourier Transform

The spectral properties of musical works as well as their impact on the body of a person were explored in this work. The authors applied the Fourier transform for the spectral analysis of a musical composition. The problem of the effect of music on the body of a person is relevant from ancient times. Already at that time, it was established that with the support of music it was possible to generate pleasure, remove pain, and also cure fundamental diseases. Avicenna used music very effectively in the treatment of the mentally ill. The Fourier transform is a given general mathematical mechanism (1942) used by audio compression standards like MP3 among many other applications. The inverse Fourier transform decomposes the sign into the elements of its frequency in a clear way, just as the human ear cultivates pulsations in order to perceive individual tones. The basic principles of the concept of music, the implementation of also the conclusion of a discontinuous Fourier transform, but in addition the application of the analysis of audio files in order to extract spectral data were discussed in this article. The device AIMT-1 was used in the work. This device frequency modulation used with a carrier frequency of 4.1 GHz and a deviation frequency of 26 MHz. Microwave radiation from the sun (society) was used as a control signal. In this case, it was necessary to change the type of commanding signal to music.