High-Order Sychrosqueezing Transforms and Its Application for Highly Accurate Animal Voice Analysis
Journal
2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Date Issued
2021
Author(s)
Lu D.-Y
Abstract
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. ? 2021 IEEE.
Subjects
Animals
High-order
Higher-order
Highly accurate
ITS applications
Short time Fourier transforms
Signals analysis
Time frequency domain
Time-frequency Analysis
Time-frequency methods
Voice analysis
Frequency domain analysis
SDGs
Type
conference paper