The analysis of signal based on the S-transform

The paper briefly introduces the basic principle of S-transform. With the simulation experiments, the time-frequency space characteristics of short-time Fourier transform, Wigner-Ville distribution and S-transform are discussed. As the results suggest, the window of S-transform has a progressive frequency dependent resolution. So the S-transform has a great utility and flexibility in non-stationary signal processing. To compare the time-frequency spectrum of three different analysis methods under various noise conditions, it is obvious that S-transform has better anti-noise performance. It fully proves that S-transform is an even more effective means for non-stationary signal processing.