Signal processing can be found in many applications and its primary goal is to provide
underlying information on specific problems for the purpose of decision making. Traditional …

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

The short-time Fourier transform (STFT) and the continuous wavelet transform (CWT) are
extensively used to analyze and process multicomponent signals, ie superpositions of …

The instantaneous frequency (IF) is a very important feature of nonstationary signals in
numerous applications. The first overview of the concept and application of the IF estimators …

The estimation of the instantaneous frequency (IF) of a harmonic complex-valued signal with
an additive noise using the Wigner distribution is considered. If the IF is a nonlinear function …

Time-frequency peak filtering (TFPF) allows the reconstruction of signals from observations
corrupted by additive noise by encoding the noisy signal as the instantaneous frequency (IF) …

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 article provides an overview of the cubic phase function (CPF) as a tool proposed for
both parametric and nonparametric estimation of the frequency modulated (FM) and in …

Instantaneous frequency (IF) estimation through the estimation of peak locations in the time-
frequency plane is an important approach for signals contaminated with additive white …

General performance analysis of the shift covariant class of quadratic time-frequency
distributions (TFDs) as instantaneous frequency (IF) estimators, for an arbitrary frequency …