Local maximum multi-synchrosqueezing transform for the analysis of time-varying signals

Abstract Synchrosqueezing transform (SST) and its improved algorithm are used to process time-varying signals have been widely developed in the field of signal processing recently. However, strong is still a tricky problem. Multisynchrosqueezing (MSST) an excellent time-frequency (TF) analysis technique for signals. some TF points will not be rearranged using this method. So we propose new named local maximum multi-synchrosqueezing transform. The method detects MSST address problem existing MSST. In way, near-perfect analyze generated. Simulated experimental data demonstrate effectiveness our