A novel refinement technique for 2-D PPS parameter estimation
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 …
(PPSs). For this purpose, a method based on phase unwrapping, filtering and polynomial …
Parameter estimation of 2D polynomial phase signals using NU sampling and 2D CPF
I Djurović, M Simeunović - IET Signal Processing, 2018 - Wiley Online Library
The two‐dimensional (2D) cubic phase function (CPF) is known as a highly accurate 2D
polynomial phase signal estimator, but it has limited applicability due to the requirement for …
polynomial phase signal estimator, but it has limited applicability due to the requirement for …
Quasi ML algorithm for 2-D PPS estimation
I Djurović - Multidimensional Systems and Signal Processing, 2017 - Springer
The 2-D quasi-maximum likelihood algorithm for estimation of 2-D polynomial phase signals
(2-D PPSs) is proposed. Estimation of all phase parameters is performed in an efficient …
(2-D PPSs) is proposed. Estimation of all phase parameters is performed in an efficient …
Cubic phase function for two-dimensional polynomial-phase signals
A cubic phase function for two-dimensional polynomial-phase signals of the third order (CPF
2-D) is proposed. The CPF 2-D based estimator is able to obtain all unknown parameters by …
2-D) is proposed. The CPF 2-D based estimator is able to obtain all unknown parameters by …
Non-uniform sampled cubic phase function
M Simeunović, I Djurović - Signal Processing, 2014 - Elsevier
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 …
function (CPF) and its extensions cannot be performed by using the fast Fourier transform …
A novel parameter estimation for polynomial phase signals using the spectrum phase
X Jiang, S Wu - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
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) …
proposed. Unlike the existing methods, the proposed method uses the spectrum phase (SP) …
Modifications to finite difference algorithm for polynomial phase signal parameter estimation
N Madsen, S Cao - IEEE Transactions on Aerospace and …, 2021 - ieeexplore.ieee.org
The finite difference (FD) algorithm is a recently proposed algorithm for single-component
polynomial phase signal (PPS) parameter estimation. It can handle high-order PPSs, while …
polynomial phase signal (PPS) parameter estimation. It can handle high-order PPSs, while …
Quasi‐maximum‐likelihood estimator of polynomial phase signals
I Djurović, L Stanković - IET Signal Processing, 2014 - Wiley Online Library
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 …
on the short‐time Fourier transform (STFT) is proposed. Estimator accuracy is significantly …
Parameter estimation of 2-D cubic phase signal using cubic phase function with genetic algorithm
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 …
D) cubic phase polynomial phase signals (PPS). Since a straightforward application of the …
Parameter estimation of multicomponent polynomial-phase signals by intersection of signal subspaces
S Barbarossa - Proceedings of 8th Workshop on Statistical …, 1996 - ieeexplore.ieee.org
The aim of this work is the parameter estimation of polynomial-phase signals (PPSs)
embedded in white noise. The proposed estimation algorithm is a generalization of the …
embedded in white noise. The proposed estimation algorithm is a generalization of the …