Detection of Informational Signal Among Noisy Signals

Two types of noise-like signals are considered. The first type of signals is generated by computer. The second type of signals was generated by operators. With approximately the same parameters of both types of signals (amplitude, average value, and standard deviation), they differ in the shape of the energy spectrum. For signals generated by computer, the shape of the energy spectrum is similar to white noise. For signals generated by operators, the shape of the energy spectrum is similar to flicker noise. The informativeness of the signals was evaluated by the entropy value. At the same time, the amount of information in noise-like computer signals (white noise) is zero. The smaller the value of the parameter τ of the approximating function of the energy spectrum is, the bigger is the amount of information in noise-like signals of operators. Noise-like signals of operators can be distinguished from each other by the value of the parameter τ of the approximating function of the energy spectrum.