Parameterized time-frequency (TF) transforms, with signal-dependent kernel parameters,
have been proposed to analyze multicomponent frequency modulated (FM) signals. Usually …

The use of linear time-frequency (TF) representa-tions as instantaneous frequency (IF)
estimators arises in various fundamental disciplines, mainly thanks to their simplicity and …

Many signals contain multiple components with time-varying instantaneous frequencies (IFs)
which share a common trajectory trend, such as machinery vibration signals, speech …

This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a
multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A …

The instantaneous frequency (IF)-based post-processing methods, synchrosqueezing and
synchroextracting, can accurately characterize the time-varying frequency and amplitude of …

The paper introduces a new kernel for the design of a high resolution time-frequency
distribution (TFD). We show that this distribution can solve problems that the Wigner-Ville …

An adaptive approach to the estimation of the instantaneous frequency (IF) of nonstationary
mono-and multicomponent FM signals with additive Gaussian noise is presented. The IF …

This paper presents a new advanced methodology for designing high resolution time-
frequency distributions (TFDs) of multicomponent nonstationary signals that can be …

Time-frequency representation (TFR) plays a significant role in interpreting and analyzing
nonstationary multi-mode signals. However, currently, it is still challenging to handle multi …

Synchrosqueezing transform (SST) has been proposed to characterize frequency-
modulated signals with slow varying instantaneous frequency (IF). However, it cannot …