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 …

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 …

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 …

In this paper, we propose a refinement procedure for the estimation of polynomial-phase
signal (PPS) parameters. The PPS parameters are estimated using a method based on the …

The two‐dimensional (2D) cubic phase function (CPF) is known as a highly accurate 2D
polynomial phase signal estimator, but it has limited applicability due to the requirement for …

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

This paper considers refinement in parameter estimation of 2-D polynomial phase signals
(PPSs). For this purpose, a method based on phase unwrapping, filtering and polynomial …

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 …

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 …

Nonstationary signals are common in many environments such as radar, sonar,
bioengineering and power systems. The nonstationary nature of the signals found in these …