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

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) …

Polynomial-phase signals have numerous applications including radar, sonar, geophysics,
and radio communication. Many techniques for estimating the parameters of polynomial …

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 investigates the computationally efficient parameter estimation of polynomial
phase signals embedded in noise. Many authors have previously proposed multilinear …

While the theory of estimation of monocomponent polynomial phase signals is well
established, the theoretical and methodical treatment of multicomponent polynomial phase …

The parameter estimation of polynomial-phase signals (PPS) has been extensively studied
in the literature in view of possible important applications in remote sensing as well as in …

Presents a tutorial discussion of the polynomial phase transform (PPT) and its application to
estimating the parameters of complex signals with continuous phase and slowly varying …

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 …

Modeling of a class of nonstationary signals with randomly time-varying amplitude and
parametric polynomial phase is addressed. A novel approach is proposed for the estimation …