Abstract
During the past two decades, the spectrogram method has widely
used to analyze the characteristic of non-stationary signals. In this
paper, two of the power intensity of the signal algorithms for time-
frequency characteristic of non-stationary signal 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 characteristic 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 nonstationary of signals. Comparisons of the result with
multiresolution analysis reveals that the prepared algorithm has
better frequency resolution whereas the wavelet transforms shows
higher time resolution