Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Marko Simeunovic"'
Publikováno v:
Journal of Electrical Engineering. 71:175-184
Estimation of the direction-of-arrival (DOA) and parameters of polynomial phase signal (PPS) impinging on the uniform linear array (ULA) of sensors in heavy-tailed noise environments is considered in this paper. To estimate signal parameters, a recen
Publikováno v:
IET Computers & Digital Techniques. 14:187-192
Multi-core hardware realisation of the quasi maximum likelihood algorithm as the state-of-the-art estimator of polynomial phase signals (PPSs) is proposed in this study. Developed multiple-clock-cycle realisation is suitable for real-time implementat
Publikováno v:
Circuits, Systems, and Signal Processing. 38:4874-4889
In this paper, an idea from the quasi-maximum-likelihood (QML) algorithm has been applied to estimation of the direction of arrival (DOA) and parameters of the polynomial phase signals (PPS) impinging on the uniform linear array. The algorithm uses a
Publikováno v:
MECO
The properties of both the short-time Fourier transform (STFT) and the wavelet transform are combined in the S-transform. On the one hand, preservation of the phase information of a signal as in the STFT is achieved, while, on the other hand, the var
Autor:
Igor Djurovic, Marko Simeunovic
Publikováno v:
Digital Signal Processing. 84:38-45
Parameter estimation of polynomial phase signals is usually performed by maximizing the cost function. To reduce the calculation complexity, the maximization consists of coarse and fine estimation stages. To refine coarse estimate, in this paper, we
Publikováno v:
IET Circuits, Devices & Systems. 13:131-138
Flexible, multiple-clock-cycle, hardware design for the quasi-maximum likelihood (QML) algorithm core realisation for the polynomial phase signals (PPSs) estimation is proposed. The QML algorithm significantly outperforms existing PPS estimators in t
Autor:
Marko Simeunovic, Igor Djurovic
Publikováno v:
IET Signal Processing. 12:1140-1145
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 the 3D search for second-order partial phase derivatives. The authors
Publikováno v:
Signal Processing. 149:1-13
This paper considers parameter estimation of a new coupled mixture of polynomial phase signal (PPS) and sinusoidal frequency modulated (FM) signal, recently introduced for industrial systems such as linear electromagnatic encoders. Compared with both
Autor:
Igor Djurovic, Marko Simeunovic
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 54:1790-1798
Parametric estimation of polynomial phase signals (PPSs) corrupted by an impulsive noise has been considered. The interpolation in joint-variable domain has been combined with the hybrid cubic phase function—high-order ambiguity function-based esti
Publikováno v:
Multidimensional Systems and Signal Processing. 30:451-464
A two-dimensional (2D) high-order Wigner distribution (HO-WD) is proposed for parameter estimation of 2D polynomial phase signals (PPSs). The genetic algorithm is employed for maximization of the 2D HO-WD. In comparison to the 2D cubic phase function