Digital analysis of signal intensities

In this paper two algorithms for the power intensity and time-frequency characteristics of non-stationary signals are proposed, tested and compared to standard schemes. The first algorithm is based on the continuous time-frequency characteristic and the second is based on the discrete time-frequency characteristic. The performance of each algorithm is evaluated and compared to the existing standard spectrogram analysis. The results show that the proposed power intensity waveform analysis provides very good performance in both continuous and discrete time-frequency characteristics for classical evaluation criteria, and for the preservation of data statistics. The Fourier transform of the intensity of signals is computed in continuous and discrete form. Two methods for the digital implementation of the proposed algorithm are suggested and described. Moreover, it is shown that this algorithm is useful for detecting possible nonstationarity of signals.