Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
