no code implementations • 2 Jun 2023 • Yunlong Ma, Gang Yu, Tianran Lin, Qingtang Jiang
This allows the technique to generate an energy-concentrated TF representation for both harmonics and impulses in the signal.
no code implementations • 5 Oct 2020 • Lin Li, Charles K. Chui, Qingtang Jiang
In this paper, we propose an adaptive signal separation operation (ASSO) for effective and accurate separation of a single-channel blind-source multi-component signal, via introducing a time-varying parameter that adapts locally to IFs and using linear chirp (linear frequency modulation) signals to approximate components at each time instant.
no code implementations • 4 Oct 2020 • Lin Li, Ningning Han, Qingtang Jiang, Charles K. Chui
We use the chirplet transform (CT) to represent a multicomponent signal in the three-dimensional space of time, frequency and chirp rate and introduce a CT-based signal separation scheme (CT3S) to retrieve modes.
no code implementations • 22 Aug 2020 • Jian Lu, Qingtang Jiang, Lin Li
The WSST with a time-varying parameter, called the adaptive WSST, was introduced very recently in the paper "Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation".