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 …

Several papers have been published recently on the quasi-maximum likelihood (QML)
approach for the polynomial phase signals (PPS) parameter estimation. The QML is …

The QML-RANSAC estimator is proposed. It combines the quasi-maximum likelihood (QML)
estimator with the random sample consensus (RANSAC). This technique can with …

In this work, the instantaneous frequency estimation for the frequency modulated (FM) signal
embedded in strong noise is considered. For engineering signals, current instantaneous …

A Wigner distribution-based random sample consensus (RANSAC) algorithm for the
instantaneous frequency estimation is proposed. The algorithm performance is studied for …

Study of user-defined parameters of the recently proposed quasi-maximum likelihood (QML)
estimator, a powerful technique for the polynomial phase signal (PPS) estimation, is …

Nonstationary signals are widely observed in various applications. The instantaneous
frequency (IF) is an important feature to capture the time-frequency (TF) characteristics of …

Recently, an L-statistics based method for the micro-Doppler effects removal has been
proposed by the authors. Order statistics is performed on the spectrogram, while the rigid …

The quasimaximum likelihood (QML) estimator of polynomial-phase signals (PPSs) is based
on the maximization of the short-time Fourier transform and suffers from aliasing when …

This paper considers parameter estimation of a new coupled mixture of polynomial phase
signal (PPS) and sinusoidal frequency modulated (FM) signal, recently introduced for …