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 …

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 …

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 …

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

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 paper reviews recent advances in the parameter estimation of higher-order polynomial-
phase signals (PPSs). The maximum likelihood (ML) technique is the most accurate …

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 …

A cubic phase function for two-dimensional polynomial-phase signals of the third order (CPF
2-D) is proposed. The CPF 2-D based estimator is able to obtain all unknown parameters by …

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 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 …