Abstract We present a time-frequency analysis, based on the Hilbert–Huang transform, of evolution low-frequency quasiperiodic oscillations observed in black hole X-ray binary MAXI J1820+070. Through empirical mode decomposition method, we decompose light curve oscillation (QPO) component and measure its intrinsic phase lag between photons from different energy bands. find that QPO is negative (...

In the wind tunnel test, full-bridge aeroelastic model needs to simulate both shape and dynamic characteristics of real bridge, modal parameters are key parameters. Therefore, it is essential identify accurately. To get accurate long-span bridge in applications Hilbert-Huang transform for parameter identification were analyzed this paper. Then a band-pass filter designed original signal so that...

Empirical Mode Decomposition (EMD), introduced by Huang et al, in 1998 is a new and effective tool to analyze non-linear and non-stationary signals. With this method, a complicated and multiscale signal can be adaptively decomposed into a sum of finite number of zero mean oscillating components called as Intrinsic Mode Functions (IMF) whose instantaneous frequency computed by the analytic signa...