36 citations · 88 across the 13 of their papers we have counts for
6 papers · 1 filter
Synchro-Transient-Extracting Transform for the Analysis of Signals with Both Harmonic and Impulsive Components
Yunlong Ma, Gang Yu, Tianran Lin +1
Time-frequency analysis (TFA) techniques play an important role in the field of machine fault diagnosis attributing to their superiority in dealing with nonstationary signals. Sync…
Direct Signal Separation Via Extraction of Local Frequencies with Adaptive Time-Varying Parameters
Lin Li, Charles K. Chui, Qingtang Jiang
Real-world phenomena that can be formulated as signals are often affected by a number of factors and appear as multi-component modes. To understand and process such phenomena, "div…
A Chirplet Transform-based Mode Retrieval Method for Multicomponent Signals with Crossover Instantaneous Frequencies
Lin Li, Ningning Han, Qingtang Jiang +1
In nature and engineering world, the acquired signals are usually affected by multiple complicated factors and appear as multicomponent nonstationary modes. In such and many other…
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…
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…
Adaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation
Lin Li, Haiyan Cai, Hongxia Han +2
The synchrosqueezing transform, a kind of reassignment method, aims to sharpen the time-frequency representation and to separate the components of a multicomponent non-stationary s…