%0 Journal Article
%T Research and Comparison of Time-frequency Techniques for Nonstationary Signals
%A Qiang Zhu
%A Yansong Wang
%A Gongqi Shen
%J Journal of Computers
%D 2012
%I Academy Publisher
%R 10.4304/jcp.7.4.954-958
%X Most of signals in engineering are nonstationary and time-varying. The Fourier transform as a traditional approach can only provide the feature information in frequency domain. The time-frequency techniques may give a comprehensive description of signals in time-frequency planes. Based on some typical nonstationary signals, five time-frequency analysis methods, i.e., the short-time Fourier transform (STFT), wavelet transform (WT), Wigner-Ville distribution (WVD), pseudo-WVD (PWVD) and the Hilbert-Huang transform (HHT), were performed and compared in this paper. The characteristics of each method were obtained and discussed. Compared with the other methods, the HHT with a high time-frequency resolution can clearly describe the rules of the frequency compositions changing with time, is a good approach for feature extraction in nonstationary signal processing.
%K nonstationary signal
%K short-time fourier transform
%K wavelet transform
%K wigner-ville distribution
%K hilbert-huang transform
%U http://ojs.academypublisher.com/index.php/jcp/article/view/5294