Search Results - "Stanković, Srdjan"
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1
Goethite dissolution by acidophilic bacteria
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
Compressive sensing meets time–frequency: An overview of recent advances in time–frequency processing of sparse signals
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
Multi-base compressive sensing procedure with application to ECG signal reconstruction
Published in EURASIP journal on advances in signal processing (04-05-2021)“…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
Distributed consensus-based multi-agent temporal-difference learning
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
Bioleaching of a lateritic ore (Piauí, Brazil) in percolators
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
An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment
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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A new approach for classification of human gait based on time-frequency feature representations
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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Consensus based overlapping decentralized estimation with missing observations and communication faults
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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On Consensus-Based Distributed Blind Calibration of Sensor Networks
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
Distributed Stochastic Approximation: Weak Convergence and Network Design
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
Polynomial Fourier domain as a domain of signal sparsity
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
On the parameterization of Hermite transform with application to the compression of QRS complexes
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
Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms
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
Decentralized Parameter Estimation by Consensus Based Stochastic Approximation
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
Nonlinear robustified stochastic consensus seeking
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
An Approach to 2D Signals Recovering in Compressive Sensing Context
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
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing
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
Reconstruction of signals with sparse representation in optimally dilated Hermite basis
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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19
Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning
Published in European journal of control (01-11-2023)Get full text
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20
Parameter optimization of orthogonal discrete Hermite transform formed using eigenvectors of a symmetric tridiagonal matrix
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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