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

While the theory of estimation of monocomponent polynomial phase signals is well
established, the theoretical and methodical treatment of multicomponent polynomial phase …

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 …

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 …

The 2-D quasi-maximum likelihood algorithm for estimation of 2-D polynomial phase signals
(2-D PPSs) is proposed. Estimation of all phase parameters is performed in an efficient …

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 …

A novel approach for the parameter estimation of polynomial phase signals (PPSs) is
proposed. Unlike the existing methods, the proposed method uses the spectrum phase (SP) …

This paper addresses the issue of detection and parameter estimation of multicomponent
polynomial phase signals (mc-PPS) embedded in noise. We focus on analyzing a general …

In this paper, we consider parameter estimation of high-order polynomial-phase signals
(PPSs). We propose an approach that combines the cubic phase function (CPF) and the …

The short-time Fourier transform (STFT) based instantaneous frequency (IF) estimator has
been used for polynomial phase signal (PPS) parameters estimation. This estimator is …