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 …

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 …

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 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 …

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 …

We consider fine parameter estimation of polynomial-phase signals (PPSs) using the cubic
phase function (CPF). The CPF outperforms the high-order ambiguity function (HAF) both in …

The" Polynomial Phase transform (PPT)", was presented in [l] as a tool for the estimation of
the parameters of constant amplitude polynomial phase signals. Extensions of the algorithm …

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 …

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 …

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 …