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) …

The high-order phase function (HPF) has been introduced recently to estimate the
parameters of a polynomial phase signal (PPS). In this correspondence, we generalize the …

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

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

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 …

Polynomial-phase signals (PPSs), ie, signals parameterized as s (t)= A exp (j2/spl pi//spl
Sigma//sub m= 0//sup M/a/sub m/t/sup m/), have been extensively studied and several …

In this paper, we propose an algorithm in which fast sparse decomposition is used to
estimate the polynomial phase signal (PPS) parameters. In the proposed algorithm, a fast …

The spectrum phase unwrapping (SPU) algorithm is a recently proposed algorithm for
estimating parameters of polynomial phase signals (PPS). It can handle special PPSs …

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 …

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 …