3 citations · 5 across the 6 of their papers we have counts for
6 papers
Synchrosqueezed windowed linear canonical transform: A method for mode retrieval from multicomponent signals with crossing instantaneous frequencies
Shuixin Li, Jiecheng Chen, Qingtang Jiang +1
In nature, signals often appear in the form of the superposition of multiple non-stationary signals. The overlap of signal components in the time-frequency domain poses a significa…
Analysis of a Direct Separation Method Based on Adaptive Chirplet Transform for Signals with Crossover Instantaneous Frequencies
Charles K. Chui, Qingtang Jiang, Lin Li +1
In many applications, it is necessary to retrieve the sub-signal building blocks of a multi-component signal, which is usually non-stationary in real-world and real-life applicatio…
Time-Scale-Chirp_rate Operator for Recovery of Non-stationary Signal Components with Crossover Instantaneous Frequency Curves
Charles K. Chui, Qingtang Jiang, Lin Li +1
The objective of this paper is to introduce an innovative approach for the recovery of non-stationary signal components with possibly cross-over instantaneous frequency (IF) curves…
Analysis of an Adaptive Short-Time Fourier Transform-Based Multicomponent Signal Separation Method Derived from Linear Chirp Local Approximation
Charles K. Chui, Qingtang Jiang, Lin Li +1
The synchrosqueezing transform (SST) has been developed as a powerful EMD-like tool for instantaneous frequency (IF) estimation and component separation of non-stationary multicomp…
Signal Separation Based on Adaptive Continuous Wavelet Transform and Analysis
Charles K. Chui, Qingtang Jiang, Lin Li +1
Recently the synchrosqueezed transform (SST) was developed as an empirical mode decomposition (EMD)-like tool to enhance the time-frequency resolution and energy concentration of a…
Analysis of Adaptive Synchrosqueezing Transform with a Time-varying Parameter
Jian Lu, Qingtang Jiang, Lin Li
The synchrosqueezing transform (SST) was developed recently to separate the components of non-stationary multicomponent signals. The continuous wavelet transform-based SST (WSST) r…