Igor Djurovic

University of Montenegro

212Publications

26H-index

3,012Citations

Publications 212

Newest

A configuration with several linear subarrays for the joint estimation of the apparent velocity & direction of propagation of a seismic wave

#1B. Barkat (Khalifa University)

#2Mohammed Y. Ali (Khalifa University)H-Index: 12

Last.Igor Djurovic (University of Montenegro)H-Index: 26

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Abstract In this paper we propose a processing method with several linear subarrays for the joint estimation of the apparent velocity and the direction of propagation of a seismic wave. This method estimates the parallel velocities along the directions of the considered linear subarrays, followed by a geometrical based procedure to compute the apparent velocity and the direction of propagation of the wave. Examples, using synthetic as well as field data, are presented to verify the suggested met...

#1Igor Djurovic (University of Montenegro)H-Index: 26

#2Marko Simeunovic (University of Donja Gorica)H-Index: 10

Last.Predrag Rakovic (Mediterranean University)H-Index: 3

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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 search over a set of possible DOA values. For considered value, the DOA is compensated and resulted signal parameters are estimated using the original QML approach. In this way, several sets of potential estimates are obtained. Optimal DOA and PPS p...

Center Weighted Median Filter Application to Time Delay Estimation in Non-Gaussian Noise Environment

Last.Igor Djurovic (University of Montenegro)H-Index: 26

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A task of time delay estimation using two or more sensors that receive and process noise-like wideband signals embedded in spatially uncorrelated noise can be treated as classical. A problem arises if environment noise is non-Gaussian and has heavy tails. Then, due to several factors, probability of appearing abnormal elementary time delay estimates can be large, especially if conventional method of cross-correlation signal processing is applied. Different methods to cope with the problem have b...

A Modified Viterbi Algorithm-Based IF Estimation Algorithm for Adaptive Directional Time–Frequency Distributions

#1Nabeel Ali Khan (FUI: Foundation University, Islamabad)H-Index: 9

#2Mokhtar MohammadiH-Index: 4

Last.Igor Djurovic (University of Montenegro)H-Index: 26

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Time–frequency (TF)-based instantaneous frequency estimation algorithms fail to achieve the desired performance when the underlying TF distribution suffers from low resolution of the signal components or signal components intersect each other in the TF domain. This paper addresses above-mentioned problems by (a) employing adaptive directional time–frequency distributions for resolving close components and (b) developing a variant of the Viterbi algorithm that employs both the direction and ampli...

#1Nevena R. Brnovic (University of Montenegro)H-Index: 1

#2Igor Djurovic (University of Montenegro)H-Index: 26

Last.Marko Simeunovic (University of Donja Gorica)H-Index: 10

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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 terms of accuracy. However, its practical applications require efficient software and hardware systems. The main challenges in the proposed hardware development with respect to existing systems for time–frequency (TF) analysis are realisation of TF re...

#1Marko Simeunovic (University of Donja Gorica)H-Index: 10

#2Igor Djurovic (University of Montenegro)H-Index: 26

Abstract 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 propose a method based on filtering and phase unwrapping of transform function. Simulation experiments have shown excellent results compared to classical fine estimation algorithms such as Aboutanios–Mulgrew and dichotomous search.

Parametric estimation of 2D cubic phase signals using high-order Wigner distribution with genetic algorithm

#1Marko Simeunovic (University of Donja Gorica)H-Index: 10

#2Igor Djurovic (University of Montenegro)H-Index: 26

Last.Alen PelinkovicH-Index: 2

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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 and classical Francos and Friedlander approach, the 2D HO-WD reduces error propagation effect which leads to lower mean squared error in estimation of signal parameters. The proposed technique is generalized for the 2D higher-order PPS.

#1Igor Djurovic (University of Montenegro)H-Index: 26

#2Marko Simeunovic (University of Donja Gorica)H-Index: 10

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 propose an interpolation-based approach simulating non-uniform (NU) signal sampling in order to reduce the 2D CPF calculation complexity. The NU resampling enables the 2D CPF evaluation using the 2D fast Fourier transform and searches over mixed-phas...

Combined Centre-Weighted Median Filter and BM3D to Filter Digital Images in Mixed Gaussian and Impulsive Environments

#1Igor Djurovic (University of Montenegro)H-Index: 26

AbstractThis paper studies the combination of a centre-weighted median filter with block matching 3-D filtering for digital images with mixed impulsive and Gaussian noise. The proposed combined filter has an extended application range with respect to both components. The work in the paper derives a simple formula for selecting the weight of the centre-weighted median filter. Adaptive weights are given for neighbourhoods 3 × 3 and wider as functions of the impulsive noise percentage and Gaussian ...

#1Igor Djurovic (University of Montenegro)H-Index: 26

#2Pu Wang (Mitsubishi Electric Research Laboratories)H-Index: 5

Last.Philip Orlik (Mitsubishi Electric Research Laboratories)H-Index: 22

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Abstract 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 conventional PPS-only and independent mixture models, the coupled mixture one captures the coupling between the sinusoidal FM frequency and the PPS parameters induced by structural system configurations. In this paper, we are particularly i...

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