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 …

Phase information has fundamental importance in many two-dimensional (2-D) signal
processing problems. In this paper, we consider 2-D signals with random amplitude and a …

This paper considers the problem of parametric modeling and estimation of
nonhomogeneous two-dimensional (2-D) signals. In particular, we focus our study on the …

A number of approaches to parametric estimation of signal phase are addressed. The goal
is to estimate the phase, or more precisely, the parameters of the phase of a signal corrupted …

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 …

We consider nonhomogeneous 2-D signals that can be represented by a constant modulus
polynomial-phase model. A novel 2-D phase differencing operator is introduced and used to …

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 Cramér-Rao bound (CRB) has been widely used as a mean square error (MSE) lower
bound for unbiased parameter estimations. For phase estimation, however, the CRB is not …

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

An improved phase regression approach for estimating the parameters of a multi-frequency
signal from discrete samples corrupted by additive noise is presented. It efficiently estimates …