TY  - CONF
AU  - Vujičić, Vladimir
AU  - Sokola, Marija
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
PY  - 2019
UR  - https://dais.sanu.ac.rs/123456789/6960
AB  - The paper presents an idea of a measurement in a
Fourier domain by a means stochastic digital measurement
method (SDMM) as a natural and logical way to reduce the
amount of big data in for processing in real time. The
measurement method is explained and its application to the
power and energy measurements in the power grid is briefly
described.
PB  - Belgrade : Academic Mind
PB  - Belgrade : ETRAN
C3  - Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
T1  - Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction
SP  - 471
EP  - 474
UR  - https://hdl.handle.net/21.15107/rcub_dais_6960
ER  - 

@conference{
author = "Vujičić, Vladimir and Sokola, Marija and Radonjić, Aleksandar and Sovilj, Platon",
year = "2019",
abstract = "The paper presents an idea of a measurement in a
Fourier domain by a means stochastic digital measurement
method (SDMM) as a natural and logical way to reduce the
amount of big data in for processing in real time. The
measurement method is explained and its application to the
power and energy measurements in the power grid is briefly
described.",
publisher = "Belgrade : Academic Mind, Belgrade : ETRAN",
journal = "Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine",
title = "Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction",
pages = "471-474",
url = "https://hdl.handle.net/21.15107/rcub_dais_6960"
}

Vujičić, V., Sokola, M., Radonjić, A.,& Sovilj, P.. (2019). Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction. in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
Belgrade : Academic Mind., 471-474.
https://hdl.handle.net/21.15107/rcub_dais_6960

Vujičić V, Sokola M, Radonjić A, Sovilj P. Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction. in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine. 2019;:471-474.
https://hdl.handle.net/21.15107/rcub_dais_6960 .

Vujičić, Vladimir, Sokola, Marija, Radonjić, Aleksandar, Sovilj, Platon, "Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction" in Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine (2019):471-474,
https://hdl.handle.net/21.15107/rcub_dais_6960 .

TY  - CONF
AU  - Vujičić, Vladimir
AU  - Radonjić, Aleksandar
AU  - Pejić, Dragan
PY  - 2018
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - https://dais.sanu.ac.rs/123456789/4634
AB  - Computing, analog-to-digital conversion and digital-to-analog conversion are the three most important functions in embedded systems. The last two may include stochasticity regardless of whether the computing is stochastic or not. The purpose of this paper is to specify and clarify the role of stochasticity in embedded systems.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Stochastic embedded systems
UR  - https://hdl.handle.net/21.15107/rcub_dais_4634
ER  - 

@conference{
author = "Vujičić, Vladimir and Radonjić, Aleksandar and Pejić, Dragan",
year = "2018",
abstract = "Computing, analog-to-digital conversion and digital-to-analog conversion are the three most important functions in embedded systems. The last two may include stochasticity regardless of whether the computing is stochastic or not. The purpose of this paper is to specify and clarify the role of stochasticity in embedded systems.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Stochastic embedded systems",
url = "https://hdl.handle.net/21.15107/rcub_dais_4634"
}

Vujičić, V., Radonjić, A.,& Pejić, D.. (2018). Stochastic embedded systems. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
https://hdl.handle.net/21.15107/rcub_dais_4634

Vujičić V, Radonjić A, Pejić D. Stochastic embedded systems. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;.
https://hdl.handle.net/21.15107/rcub_dais_4634 .

Vujičić, Vladimir, Radonjić, Aleksandar, Pejić, Dragan, "Stochastic embedded systems" in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018),
https://hdl.handle.net/21.15107/rcub_dais_4634 .

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/3698
UR  - https://dais.sanu.ac.rs/123456789/4607
AB  - In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd
PB  - Elsevier
T2  - Measurement: Journal of the International Measurement Confederation
T1  - Stochastic digital DFT processor and its application to measurement of reactive power and energy
SP  - 494
EP  - 504
VL  - 124
DO  - 10.1016/j.measurement.2018.04.004
UR  - https://hdl.handle.net/21.15107/rcub_dais_4607
ER  - 

@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
abstract = "In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd",
publisher = "Elsevier",
journal = "Measurement: Journal of the International Measurement Confederation",
title = "Stochastic digital DFT processor and its application to measurement of reactive power and energy",
pages = "494-504",
volume = "124",
doi = "10.1016/j.measurement.2018.04.004",
url = "https://hdl.handle.net/21.15107/rcub_dais_4607"
}

Pejić, D., Naumović Vuković, D., Vujičić, B., Radonjić, A., Sovilj, P.,& Vujičić, V.. (2018). Stochastic digital DFT processor and its application to measurement of reactive power and energy. in Measurement: Journal of the International Measurement Confederation
Elsevier., 124, 494-504.
https://doi.org/10.1016/j.measurement.2018.04.004
https://hdl.handle.net/21.15107/rcub_dais_4607

Pejić D, Naumović Vuković D, Vujičić B, Radonjić A, Sovilj P, Vujičić V. Stochastic digital DFT processor and its application to measurement of reactive power and energy. in Measurement: Journal of the International Measurement Confederation. 2018;124:494-504.
doi:10.1016/j.measurement.2018.04.004
https://hdl.handle.net/21.15107/rcub_dais_4607 .

Pejić, Dragan, Naumović Vuković, Dragana, Vujičić, Bojan, Radonjić, Aleksandar, Sovilj, Platon, Vujičić, Vladimir, "Stochastic digital DFT processor and its application to measurement of reactive power and energy" in Measurement: Journal of the International Measurement Confederation, 124 (2018):494-504,
https://doi.org/10.1016/j.measurement.2018.04.004 .,
https://hdl.handle.net/21.15107/rcub_dais_4607 .

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/3698
AB  - In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd
PB  - Elsevier
T2  - Measurement: Journal of the International Measurement Confederation
T1  - Stochastic digital DFT processor and its application to measurement of reactive power and energy
SP  - 494
EP  - 504
VL  - 124
DO  - 10.1016/j.measurement.2018.04.004
UR  - https://hdl.handle.net/21.15107/rcub_dais_3698
ER  - 

@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
abstract = "In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd",
publisher = "Elsevier",
journal = "Measurement: Journal of the International Measurement Confederation",
title = "Stochastic digital DFT processor and its application to measurement of reactive power and energy",
pages = "494-504",
volume = "124",
doi = "10.1016/j.measurement.2018.04.004",
url = "https://hdl.handle.net/21.15107/rcub_dais_3698"
}

Pejić, D., Naumović Vuković, D., Vujičić, B., Radonjić, A., Sovilj, P.,& Vujičić, V.. (2018). Stochastic digital DFT processor and its application to measurement of reactive power and energy. in Measurement: Journal of the International Measurement Confederation
Elsevier., 124, 494-504.
https://doi.org/10.1016/j.measurement.2018.04.004
https://hdl.handle.net/21.15107/rcub_dais_3698

Pejić D, Naumović Vuković D, Vujičić B, Radonjić A, Sovilj P, Vujičić V. Stochastic digital DFT processor and its application to measurement of reactive power and energy. in Measurement: Journal of the International Measurement Confederation. 2018;124:494-504.
doi:10.1016/j.measurement.2018.04.004
https://hdl.handle.net/21.15107/rcub_dais_3698 .

Pejić, Dragan, Naumović Vuković, Dragana, Vujičić, Bojan, Radonjić, Aleksandar, Sovilj, Platon, Vujičić, Vladimir, "Stochastic digital DFT processor and its application to measurement of reactive power and energy" in Measurement: Journal of the International Measurement Confederation, 124 (2018):494-504,
https://doi.org/10.1016/j.measurement.2018.04.004 .,
https://hdl.handle.net/21.15107/rcub_dais_3698 .

TY  - CONF
AU  - Vujičić, Vladimir
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
PY  - 2018
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - https://dais.sanu.ac.rs/123456789/4633
AB  - The latest development of stochastic digital measurement method allows extremely simple measurement of Fourier coefficients and, thus, the harmonic amplitudes: the natural weights of the measurement data in Fourier domain. The significance of each measurement data is defined by its weight, which allows the optimization of data recording, data analysis and artificial neural network training in a power grid.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Naturally weighted measurement data in power grid – measurement data in Fourier domain
UR  - https://hdl.handle.net/21.15107/rcub_dais_4633
ER  - 

@conference{
author = "Vujičić, Vladimir and Radonjić, Aleksandar and Sovilj, Platon",
year = "2018",
abstract = "The latest development of stochastic digital measurement method allows extremely simple measurement of Fourier coefficients and, thus, the harmonic amplitudes: the natural weights of the measurement data in Fourier domain. The significance of each measurement data is defined by its weight, which allows the optimization of data recording, data analysis and artificial neural network training in a power grid.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Naturally weighted measurement data in power grid – measurement data in Fourier domain",
url = "https://hdl.handle.net/21.15107/rcub_dais_4633"
}

Vujičić, V., Radonjić, A.,& Sovilj, P.. (2018). Naturally weighted measurement data in power grid – measurement data in Fourier domain. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
https://hdl.handle.net/21.15107/rcub_dais_4633

Vujičić V, Radonjić A, Sovilj P. Naturally weighted measurement data in power grid – measurement data in Fourier domain. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;.
https://hdl.handle.net/21.15107/rcub_dais_4633 .

Vujičić, Vladimir, Radonjić, Aleksandar, Sovilj, Platon, "Naturally weighted measurement data in power grid – measurement data in Fourier domain" in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018),
https://hdl.handle.net/21.15107/rcub_dais_4633 .

TY  - JOUR
AU  - Urekar, Marjan
AU  - Pejić, Dragan
AU  - Vujičić, Vladimir
AU  - Avramov Zamurović, Svetlana
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/2353
AB  - The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.
PB  - Elsevier
T2  - Measurement
T1  - Accuracy improvement of the stochastic digital electrical energy meter
SP  - 139
EP  - 150
VL  - 98
DO  - 10.1016/j.measurement.2016.11.038
UR  - https://hdl.handle.net/21.15107/rcub_dais_2353
ER  - 

@article{
author = "Urekar, Marjan and Pejić, Dragan and Vujičić, Vladimir and Avramov Zamurović, Svetlana",
year = "2017",
abstract = "The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.",
publisher = "Elsevier",
journal = "Measurement",
title = "Accuracy improvement of the stochastic digital electrical energy meter",
pages = "139-150",
volume = "98",
doi = "10.1016/j.measurement.2016.11.038",
url = "https://hdl.handle.net/21.15107/rcub_dais_2353"
}

Urekar, M., Pejić, D., Vujičić, V.,& Avramov Zamurović, S.. (2017). Accuracy improvement of the stochastic digital electrical energy meter. in Measurement
Elsevier., 98, 139-150.
https://doi.org/10.1016/j.measurement.2016.11.038
https://hdl.handle.net/21.15107/rcub_dais_2353

Urekar M, Pejić D, Vujičić V, Avramov Zamurović S. Accuracy improvement of the stochastic digital electrical energy meter. in Measurement. 2017;98:139-150.
doi:10.1016/j.measurement.2016.11.038
https://hdl.handle.net/21.15107/rcub_dais_2353 .

Urekar, Marjan, Pejić, Dragan, Vujičić, Vladimir, Avramov Zamurović, Svetlana, "Accuracy improvement of the stochastic digital electrical energy meter" in Measurement, 98 (2017):139-150,
https://doi.org/10.1016/j.measurement.2016.11.038 .,
https://hdl.handle.net/21.15107/rcub_dais_2353 .

TY  - CONF
AU  - Urekar, Marjan
AU  - Vujičić, Vladimir
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/3686
AB  - The paper describes the High Precision Stochastic Digital Measurement Method that takes the advantage of fast electronic components in order to simplify and cut the costs of hardware used for electric energy measurements, whereas reducing the number of error sources in instruments. It is shown that the key element in this system is the fast Flash ADC. For every new bit of Flash ADC resolution, its hardware is consequently doubled in complexity, as the standard price for that additional new bit of resolution. A definition and a solution for the fundamental problem of optimal (maximum) increase of Stochastic Flash ADC precision and equivalent technology speed at the standard price of hardware doubling are given. Resolution increase from two to three bits is found to be optimal, giving the precision increase of three times and the speed increase of nine times, compared to the two-bit version. All other cases give precision increase of around two times and 5-6 times increase of the equivalent technology speed.
PB  - IEEE
C3  - IEEE EUROCON 2017 -17th International Conference on Smart Technologies
T1  - Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method
SP  - 832
EP  - 837
DO  - 10.1109/EUROCON.2017.8011228
UR  - https://hdl.handle.net/21.15107/rcub_dais_3686
ER  - 

@conference{
author = "Urekar, Marjan and Vujičić, Vladimir",
year = "2017",
abstract = "The paper describes the High Precision Stochastic Digital Measurement Method that takes the advantage of fast electronic components in order to simplify and cut the costs of hardware used for electric energy measurements, whereas reducing the number of error sources in instruments. It is shown that the key element in this system is the fast Flash ADC. For every new bit of Flash ADC resolution, its hardware is consequently doubled in complexity, as the standard price for that additional new bit of resolution. A definition and a solution for the fundamental problem of optimal (maximum) increase of Stochastic Flash ADC precision and equivalent technology speed at the standard price of hardware doubling are given. Resolution increase from two to three bits is found to be optimal, giving the precision increase of three times and the speed increase of nine times, compared to the two-bit version. All other cases give precision increase of around two times and 5-6 times increase of the equivalent technology speed.",
publisher = "IEEE",
journal = "IEEE EUROCON 2017 -17th International Conference on Smart Technologies",
title = "Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method",
pages = "832-837",
doi = "10.1109/EUROCON.2017.8011228",
url = "https://hdl.handle.net/21.15107/rcub_dais_3686"
}

Urekar, M.,& Vujičić, V.. (2017). Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method. in IEEE EUROCON 2017 -17th International Conference on Smart Technologies
IEEE., 832-837.
https://doi.org/10.1109/EUROCON.2017.8011228
https://hdl.handle.net/21.15107/rcub_dais_3686

Urekar M, Vujičić V. Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method. in IEEE EUROCON 2017 -17th International Conference on Smart Technologies. 2017;:832-837.
doi:10.1109/EUROCON.2017.8011228
https://hdl.handle.net/21.15107/rcub_dais_3686 .

Urekar, Marjan, Vujičić, Vladimir, "Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method" in IEEE EUROCON 2017 -17th International Conference on Smart Technologies (2017):832-837,
https://doi.org/10.1109/EUROCON.2017.8011228 .,
https://hdl.handle.net/21.15107/rcub_dais_3686 .

TY  - CONF
AU  - Vujičić, Bojan
AU  - Zupunski, Ljubica
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/3683
AB  - This paper considers the process of analog signal reconstruction measured by using a two-bit stochastic digital measurement method. The proposed process is tested by digital simulations on the example of a triangular signal. It is shown that for sampling frequency of 10.58 MHz and measurement interval of 1.28 s the precision (effective resolution) of the reconstructed signal is 12.18 bits. If one wants to achieve a more precise reconstruction, it is necessary to increase the measurement time interval and/or sampling frequency.
PB  - IEEE
C3  - IEEE EUROCON 2017 - 17th International Conference on Smart Technologies
T1  - Reconstruction of an analog signal measured using two-bit stochastic digital measurement method
SP  - 829
EP  - 831
DO  - 10.1109/EUROCON.2017.8011227
UR  - https://hdl.handle.net/21.15107/rcub_dais_3683
ER  - 

@conference{
author = "Vujičić, Bojan and Zupunski, Ljubica and Sovilj, Platon and Radonjić, Aleksandar",
year = "2017",
abstract = "This paper considers the process of analog signal reconstruction measured by using a two-bit stochastic digital measurement method. The proposed process is tested by digital simulations on the example of a triangular signal. It is shown that for sampling frequency of 10.58 MHz and measurement interval of 1.28 s the precision (effective resolution) of the reconstructed signal is 12.18 bits. If one wants to achieve a more precise reconstruction, it is necessary to increase the measurement time interval and/or sampling frequency.",
publisher = "IEEE",
journal = "IEEE EUROCON 2017 - 17th International Conference on Smart Technologies",
title = "Reconstruction of an analog signal measured using two-bit stochastic digital measurement method",
pages = "829-831",
doi = "10.1109/EUROCON.2017.8011227",
url = "https://hdl.handle.net/21.15107/rcub_dais_3683"
}

Vujičić, B., Zupunski, L., Sovilj, P.,& Radonjić, A.. (2017). Reconstruction of an analog signal measured using two-bit stochastic digital measurement method. in IEEE EUROCON 2017 - 17th International Conference on Smart Technologies
IEEE., 829-831.
https://doi.org/10.1109/EUROCON.2017.8011227
https://hdl.handle.net/21.15107/rcub_dais_3683

Vujičić B, Zupunski L, Sovilj P, Radonjić A. Reconstruction of an analog signal measured using two-bit stochastic digital measurement method. in IEEE EUROCON 2017 - 17th International Conference on Smart Technologies. 2017;:829-831.
doi:10.1109/EUROCON.2017.8011227
https://hdl.handle.net/21.15107/rcub_dais_3683 .

Vujičić, Bojan, Zupunski, Ljubica, Sovilj, Platon, Radonjić, Aleksandar, "Reconstruction of an analog signal measured using two-bit stochastic digital measurement method" in IEEE EUROCON 2017 - 17th International Conference on Smart Technologies (2017):829-831,
https://doi.org/10.1109/EUROCON.2017.8011227 .,
https://hdl.handle.net/21.15107/rcub_dais_3683 .