Some Methods of Time-Frequency Analysis Based on Previous Knowledge of Signal
基于信号先验知识的几种时频分析法

The methods of time frequency analysis include linear, quadratic and adaptive methods. They provide effective tools for analyzing signal time varying spectrum in time frequency plane. Each of them possesses its special advantages as well as disadvantages. Therefore, in practical applications, to make a balance in time and frequency resolution and to reduce cross term interference, different methods should be employed to deal with different kinds of signals in terms of the signals' previous knowledge. In this paper, we analyzed some typical signal models via using different time frequency analysis methods and found some effective methods that are suitable for these models. For examples, adaptive method is suitable for analyzing Gaussian like or frequency hopping signals, but STFT or WVD is suitable for chirp like signals. We also discussed the applications of these methods on image analysis and processing.