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

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 high-order phase function (HPF) has been introduced recently to estimate the
parameters of a polynomial phase signal (PPS). In this correspondence, we generalize the …

This paper considers parameter estimation of a hybrid sinusoidal frequency modulated (FM)
and polynomial phase signal (PPS) from a finite number of samples. We first show …

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) …

Parameter estimation of polynomial phase signals (PPSs) based on the cubic phase
function (CPF) and its extensions cannot be performed by using the fast Fourier transform …

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 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 …

Parameter estimation of a high-order polynomial phase signal (PPS) is considered in this
paper. We propose a method to estimate phase parameters more efficiently and accurately …