High-Order Sychrosqueezing Transforms and Its Application for Highly Accurate Animal Voice Analysis

Time-frequency analysis represents the signal in the time-frequency domain and is very important tool for signal analysis, including animal voice analysis. In the conventional time-frequency method, we use the short-time Fourier transform (STFT) to analyze signals. In recent years, the reassignment method becomes more popular, which can improve the time and the frequency resolution simultaneously. Afterwards, the sychrosqueezing transform (SST) and the high-order SST were developed. They both shift the energy-band along the frequency axis. Our proposed architecture combines the high-order SST with many modified methods, which can achieve best resolution of time and frequency and reduce the cross terms.