This article provides a general overview of time-frequency (TF) reassignment and
synchrosqueezing techniques applied to multicomponent signals, covering the theoretical …

Time–frequency representations (TFRs) of signals, such as the windowed Fourier transform
(WFT), wavelet transform (WT) and their synchrosqueezed versions (SWFT, SWT), provide …

In this paper, we introduce a new time-frequency (TF) analysis (TFA) method to study the
trend and instantaneous frequency (IF) of nonlinear and nonstationary data. Our proposed …

Time-frequency (TF) analysis (TFA) method is an important tool in industrial engineering
fields. However, restricted to Heisenberg uncertainty principle or unexpected cross terms …

The combination of the complex structure and the nonstationary operating pattern makes the
measured signal of the machinery a multi-component one with a complex time-varying …

This paper considers the analysis of multicomponent signals, defined as superpositions of
real or complex modulated waves. It introduces two new post-transformations for the short …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

The characterization and the separation of amplitude and frequency modulated signals is a
classical problem of signal analysis and signal processing. We present a couple of new …

Monitoring and managing the structural health of bridges requires expensive specialized
sensor networks. In the past decade, researchers predicted that cheap ubiquitous mobile …

Abstract Time–frequency (TF) analysis (TFA) method is an effective tool to characterize the
time-varying feature of a signal, which has drawn many attentions in a fairly long period …