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 …

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 …

Many real-world applications are characterized by the presence of polynomial phase signals
embedded in noise. These applications include radar, sonar, telemetry, communications …

A parametric model and a corresponding algorithm for estimating two-dimensional (2-D)
phase functions were presented in a previous paper. The performance of the phase …

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 …

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 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 …

The approach is based on modeling the signal phase by a polynomial function of time on a
finite interval. The phase polynomial is expressed as a linear combination of the Legendre …

The estimation of the frequency and phase of a complex exponential in additive white
Gaussian noise (AWGN) is a fundamental and well-studied problem in signal processing …