Igor Djurovic

University of Montenegro

210Publications

25H-index

2,690Citations

Publications 210

Newest*
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A Modified Viterbi Algorithm-Based IF Estimation Algorithm for Adaptive Directional Time–Frequency Distributions*
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Estimated H-index: 8

Estimated H-index: 3

Estimated H-index: 25

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...

Estimated H-index: 25

Estimated H-index: 8

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...

Estimated H-index: 25

Estimated H-index: 8

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...

Estimated H-index: 8

Estimated H-index: 25

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*
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Estimated H-index: 8

Estimated H-index: 25

Estimated H-index: 1

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.

Estimated H-index: 25

Estimated H-index: 8

Combined Centre-Weighted Median Filter and BM3D to Filter Digital Images in Mixed Gaussian and Impulsive Environments*
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Estimated H-index: 25

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 ...

Estimated H-index: 25

Estimated H-index: 2

Estimated H-index: 20

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...

Estimated H-index: 25

Estimated H-index: 8

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 estimator to address this issue. Technique for estimating the percentage of impulses and threshold selection is also proposed. In addition, we propose the refinement procedure to further decrease the mean squared error of PPS parameters estimates.

Published on Jun 1, 2018

Estimated H-index: 5

Estimated H-index: 13

Estimated H-index: 15

This paper deals with image denoising under standard assumption of additive white Gaussian noise presence. We study potential of denoising effectiveness for a typical representative of orthogonal transform based techniques — a filter based on discrete cosine transform (DCT) with fixed size blocks. It is shown that its performance depends upon many different factors where threshold setting is of prime importance. Possibility of setting individual threshold for each block is considered and it is d...

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