This paper considers parameter estimation of a new coupled mixture of polynomial phase
signal (PPS) and sinusoidal frequency modulated (FM) signal, recently introduced for …

This paper considers parameter estimation of a hybrid sinusoidal frequency modulated (FM)
and polynomial phase signal (PPS) from a finite number of samples. We first show …

To precisely estimate the parameters of polynomial-phase signals (PPSs), we adopt a
recently-proposed algorithm for sinusoid frequency estimation. The algorithm is combined …

This paper studies parameter estimation of a coupled mixture of polynomial phase signal
(PPS) and sinusoidal frequency modulated (FM) signal, a newly introduced model motivated …

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) …

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 …

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 …

The short-time Fourier transform (STFT) based instantaneous frequency (IF) estimator has
been used for polynomial phase signal (PPS) parameters estimation. This estimator is …

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 …