Contrast of time-frequency analysis methods and fusion of Wigner-Ville distribution and wavelet transform

摘要

Time-frequency analysis is a powerful tool for analyzing non-stationary signals, which can describe the signal's frequency varying with time and provide us the joint information of time domain and frequency domain of the signal. We use a synthetic signal to realize the time-frequency analysis methods of wavelet transform, S transform and Wigner-Ville distribution. Through comparing and analyzing those time-frequency distributions, we propose a new method of integrating wavelet transform and Wigner-Ville distribution. This new method gives a better result than that of wavelet transform and Wigner-Ville distribution and increases the time-frequency resolution.