时频分析是分析时变谱的有力工具,其频率分辨率是值得研究的关键问题之一。通过对基于短时傅里叶变换、小波变换、Choi-Williams分布和Hilbert-Huang变换的四种时频分析方法的频率分辨率的实验比较,说明Hilbert-Huang变换法具有最高的频率分辨率,其次是Choi-Williams分布,小波紧随其后,最差是短时傅里叶变换。
Time-Frequency (TF) is a powerful tool for the analysis of time-varying spectrum.One of key issues in this regard is frequency resolution.Experimentally compared the frequency resolution of four types of TF analysis methods,namely,Short Time Fourier Transform (STFT),Wavelet Transform (WT),Choi-William Distribution (CWD) and Hilbert-Huang Transform (HHT).The results suggest that HHT has the highest frequency resolution,CWD is better than WT and STFT is the worst.