Search Results - "Stanković, Srdjan"

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  1. 1

    Goethite dissolution by acidophilic bacteria by Stanković, Srdjan, Schippers, Axel

    Published in Frontiers in microbiology (22-05-2024)
    “…Previous studies have reported the role of some species of acidophilic bacteria in accelerating the dissolution of goethite under aerobic and anaerobic…”
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  2. 2

    Compressive sensing meets time–frequency: An overview of recent advances in time–frequency processing of sparse signals by Sejdić, Ervin, Orović, Irena, Stanković, Srdjan

    Published in Digital signal processing (01-06-2018)
    “…Compressive sensing is a framework for acquiring sparse signals at sub-Nyquist rates. Once compressively acquired, many signals need to be processed using…”
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  3. 3

    Multi-base compressive sensing procedure with application to ECG signal reconstruction by Orovic, Irena, Stanković, Srdjan, Beko, Marko

    “…Standard compressive sensing (CS) scenario assumes a single sparsifying basis used to reconstruct the signals from a small set of incoherent measurements…”
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  4. 4

    Distributed consensus-based multi-agent temporal-difference learning by Stanković, Miloš S., Beko, Marko, Stanković, Srdjan S.

    Published in Automatica (Oxford) (01-05-2023)
    “…In this paper we propose two new distributed consensus-based algorithms for temporal-difference learning in multi-agent Markov decision processes. The…”
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  5. 5

    Bioleaching of a lateritic ore (Piauí, Brazil) in percolators by Stanković, Srdjan, Goldmann, Simon, Kraemer, Dennis, Ufer, Kristian, Schippers, Axel

    Published in Hydrometallurgy (01-02-2024)
    “…Heap leaching of laterites for extraction of nickel and cobalt is an attractive alternative to capital and energy intensive high pressure acid leaching, the…”
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  6. 6

    An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment by STANKOVIC, Srdjan, OROVIC, Irena, STANKOVIC, Ljubiša

    Published in Signal processing (01-11-2014)
    “…An analysis of signal reconstruction possibility using a small set of samples corrupted by noise is considered. False detection and/or misdetection of sparse…”
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  7. 7

    A new approach for classification of human gait based on time-frequency feature representations by Orović, Irena, Stanković, Srdjan, Amin, Moeness

    Published in Signal processing (01-06-2011)
    “…We introduce a new and simple technique for human gait classification based on the time-frequency analysis of radar data. The focus is on the classification of…”
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  8. 8

    Consensus based overlapping decentralized estimation with missing observations and communication faults by STANKOVIC, Srdjan S, STANKOVIC, Milos S, STIPANOVIC, Dusan M

    Published in Automatica (Oxford) (01-06-2009)
    “…In this paper a new algorithm for discrete-time overlapping decentralized state estimation of large scale systems is proposed in the form of a multi-agent…”
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  9. 9

    On Consensus-Based Distributed Blind Calibration of Sensor Networks by Stanković, Miloš S, Stanković, Srdjan S, Johansson, Karl Henrik, Beko, Marko, Camarinha-Matos, Luis M

    Published in Sensors (Basel, Switzerland) (19-11-2018)
    “…This paper deals with recently proposed algorithms for real-time distributed blind macro-calibration of sensor networks based on consensus (synchronization)…”
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  10. 10

    Distributed Stochastic Approximation: Weak Convergence and Network Design by Stankovic, Milos S., Ilic, Nemanja, Stankovic, Srdjan S.

    Published in IEEE transactions on automatic control (01-12-2016)
    “…This paper studies distributed stochastic approximation algorithms based on broadcast gossip on communication networks represented by digraphs. Weak…”
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  11. 11

    Polynomial Fourier domain as a domain of signal sparsity by Stanković, Srdjan, Orović, Irena, Stanković, Ljubiša

    Published in Signal processing (01-01-2017)
    “…A compressive sensing (CS) reconstruction method for polynomial phase signals is proposed in this paper. It relies on the Polynomial Fourier transform, which…”
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  12. 12

    On the parameterization of Hermite transform with application to the compression of QRS complexes by Brajović, Miloš, Orović, Irena, Daković, Miloš, Stanković, Srdjan

    Published in Signal processing (01-02-2017)
    “…The concentration and sparsity of signal representation in the Hermite transform (HT) basis may highly depend on a properly chosen scaling factor and discrete…”
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  13. 13

    Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms by Stanković, Ljubiša, Djurović, Igor, Stanković, Srdjan, Simeunović, Marko, Djukanović, Slobodan, Daković, Miloš

    Published in Digital signal processing (01-12-2014)
    “…The instantaneous frequency (IF) is a very important feature of nonstationary signals in numerous applications. The first overview of the concept and…”
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  14. 14

    Decentralized Parameter Estimation by Consensus Based Stochastic Approximation by Stanković, S S, Stankovic, M S, Stipanovic, D M

    Published in IEEE transactions on automatic control (01-03-2011)
    “…In this paper, an algorithm for decentralized multi-agent estimation of parameters in linear discrete-time regression models is proposed in the form of a…”
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  15. 15

    Nonlinear robustified stochastic consensus seeking by Stanković, Srdjan S., Beko, Marko, Stanković, Miloš S.

    Published in Systems & control letters (01-05-2020)
    “…In this paper we propose a novel stochastic consensus seeking algorithm based on the introduction of a nonlinear transformation aimed at robustification with…”
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  16. 16

    An Approach to 2D Signals Recovering in Compressive Sensing Context by Stankovic, Srdjan, Orovic, Irena

    Published in Circuits, systems, and signal processing (01-04-2017)
    “…In this paper, we study the compressive sensing effects on 2D signals exhibiting sparsity in 2D DFT domain. A simple algorithm for reconstruction of randomly…”
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  17. 17

    A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing by Stanković, Ljubiša, Sejdić, Ervin, Stanković, Srdjan, Daković, Miloš, Orović, Irena

    Published in Circuits, systems, and signal processing (01-03-2019)
    “…Sparse signals are characterized by a few nonzero coefficients in one of their transformation domains. This was the main premise in designing signal…”
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  18. 18

    Reconstruction of signals with sparse representation in optimally dilated Hermite basis by Brajović, Miloš, Orović, Irena, Beko, Marko, Stanković, Srdjan

    Published in Signal, image and video processing (01-09-2023)
    “…Compressive sensing (CS) provides a set of powerful techniques for the reconstruction of signals with a sparse representation in some particular domain, based…”
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    Parameter optimization of orthogonal discrete Hermite transform formed using eigenvectors of a symmetric tridiagonal matrix by Brajović, Miloš, Orović, Irena, Beko, Marko, Stanković, Srdjan

    Published in Digital signal processing (01-10-2021)
    “…Basis functions of the Discrete Hermite transform (DHT) can be formed as the set of eigenvectors of a symmetric tridiagonal matrix which commutes with the…”
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