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 …

A novel approach for the parameter estimation of the polynomial phase signals (PPS) based
on the short‐time Fourier transform (STFT) is proposed. Estimator accuracy is significantly …

Estimating the coefficients of a noisy polynomial phase signal is important in fields including
radar, biology and radio communications. One approach attempts to perform polynomial …

This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …

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

A method for interference suppression in noise radars is proposed. The phase of
interference is locally approximated by a polynomial, whose coefficients are estimated using …

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 …

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 …

Chirp signals have played an important role in the statistical signal processing literature. An
extensive amount of work has been done in analyzing different one dimensional chirp, two …