most citedTime-Scale-Chirp_rate Operator for Recovery of Non-stationary Signal Components with Crossover Instantaneous Frequency Curves

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA20203 cited

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…

math.NA2020

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…

math.NA2020

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…

eess.SP2020

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…

eess.SP2018

Adaptive Synchrosqueezing Transform with a Time-Varying Parameter for Non-stationary Signal Separation

Lin Li, Haiyan Cai, Qingtang Jiang

The continuous wavelet transform (CWT) is a linear time-frequency representation and a powerful tool for analyzing non-stationary signals. The synchrosqueezing transform (SST) is a…