Digital platoform

A digital platform is aimed at making specific innovations and technological solutions, produced by the academic and research community, more accessible to private companies. It is a service for automatically downloading, synchronizing, sorting and displaying information from large scientific platforms such as Academia.edu, Google Scholar, or Researchers Gate to the platform EmpowerHR4Inno. Platform initially focus on priority sectors, food, health tourism, horizontal IT priority and nationally produced solutions with a tendency for further development. The following information can be found:

Course library with sub-content WoS published, results, other solutions, and digital tools and HR models;
Set of features that allow sending newsletters to users who sign up as interested in a particular group of news feeds.

Institute of Electrical and Electronics Engineers (IEEE)

Automatic Classification of Frequency-Modulated Radar Waveforms Under Multipath Conditions

Download 2023 Hubert Milczarek , Jacek Jakubowski , Czesław Leśnik , Igor Djurovic

World Scientific Pub Co Pte Ltd

DNN-based speech watermarking resistant to desynchronization attacks

Desynchronization attacks proved to be the greatest challenge to audio watermarking systems as they introduce misalignment between the signal carrier and the watermark. This paper proposes a DNN-based speech watermarking system with two adversarial networks jointly trained on a set of desynchronization attacks to embed a randomly generated watermark. The detector neural network is expanded with spatial pyramid pooling layers to be able to handle signals affected by these attacks. A detailed training...

Download 2023 Kosta Pavlović , Slavko Kovačević , Igor Djurovic , Adam Wojciechowski

IEEE

Design Principles of Efficient Data-driven S-transform Hardware Realization

Download 2023 Nevena Radović , Marko Simeunović , Igor Djurovic , Veselin N. Ivanović

Walter de Gruyter GmbH

Estimation of parameters of a sum of sinusoids sampled below the Nyquist rate with frequencies away from the grid

Abstract We are witnessing a growing interest in processing signals sampled below the Nyquist rate. The main limitation of current approaches considering estimation of multicomponent sinusoids parameters is the assumption of frequencies on the frequency grid. The sinusoids away from the frequency grid are considered in this paper. The proposed procedure has three stages. In the first two, a rough estimation of signal components is performed while in the third refinement in estimation...

Download 2021 Igor Djurovic

Walter de Gruyter GmbH

Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment

Abstract 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 recently proposed quasi maximum-likelihood (QML) estimator is adopted. The proposed algorithm consists of two successive steps: (1) noise influence mitigation by using the proposed normalization strategy and (2) signal parameters estimation...

Download 2020 Vladimir V. Lukin , Marko Simeunović , Igor Djurovic

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