In this correspondence, parameter estimation of a polynomial phase signal (PPS) in additive
white Gaussian noise is addressed. Assuming that the order of the PPS is at least 3, the …

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) …

The aim of this work is the parameter estimation of polynomial-phase signals (PPSs)
embedded in white noise. The proposed estimation algorithm is a generalization of the …

This paper presents a generalization of cubic phase function (CPF) for two-dimensional (2-
D) cubic phase polynomial phase signals (PPS). Since a straightforward application of the …

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 …

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 …

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 …

A new algorithm, the finite-difference algorithm, is proposed for single-component
polynomial phase signal parameter estimation. The proposed algorithm takes advantage of …

This paper details an algorithm for estimating the parameters of cubic phase signals
embedded in additive white Gaussian noise. The new algorithm is an extension of the cubic …

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 …