SEGLCT: An Efficient Time Frequency Analyse Method

To solve the problems of cross term interference, low resolution, and unsatisfactory noise suppression ability in existing time-frequency analyses(TFA) methods, this paper proposes an effective TFA method — Synchro-extracting transform generalized linear Chirplet transform(SEGLCT). Firstly, this method performs Synchro-extracting transform (SET) on the input signal to obtain a Synchro-extracting operator (SEO); Secondly, the generalized linear Chirplet transform (GLCT) is used to perform TFA on the input signal and obtain coarse TFA results. Then, a SEO is used to construct a filtering matrix and perform filtering cancellation on the coarse TFA results. Finally, the optimized TFA results can be obtained. This method fully integrates the advantages of SET and GLCT, and has high time-frequency clustering and noise stability. The experimental results verify the effectiveness of the proposed method.