Study on chaotic signal in buck-boost circuit based on wavelet transform

Wavelet analysis has localization properties both in time and frequency and hierarchical structures. Wavelet transform provides local information and multiresolution decomposition on a signal. We use wavelet analysis to identifying and characterizing chaotic signals in a current-programmed buck-boost circuit. As chaotic signal appears broadband power spectrums, Fourier transforms cannot distinguish between chaotic signal and white noise. Using wavelet transform, we extract instantaneous frequencies of the signal vary in time across scales. The results characterize the difference between a chaotic signal and white noise. This may lead to a better understanding of the chaotic signal occurred in DC/DC switch converter.