A modified second-order synchroextracting transform

Abstract

The synchroextracting transform is a time-frequency post-processing method that allows signal reconstruction to obtain a more focused time-frequency representation. This paper proposes a modified second-order synchroextracting transform (MSSET) time-frequency analysis method which can handle multi-component signals and strong frequency-modulation signals more effectively. Different from the conventional time-frequency analysis methods, this method pre-detects the target area through joint image processing, and then designs a new local optimal window width (LOWW) selection scheme to achieve the optimal effect in the two dimensions of time scale and frequency scale. Finally, the superiority of the method in instantaneous frequency (IF) estimation and the energy concentration of the time-frequency representation (TFR) is verified by simulation experiments.