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Sovilj, Platon

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orcid::0000-0002-3274-9337
  • Sovilj, Platon (10)
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Author's Bibliography

Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode

Sovilj, Platon; Vujičić, Bojan; Pejić, Dragan; Radonjić, Aleksandar; Vujičić, Vladimir

(International Measurement Confederation, 2020)

TY  - CONF
AU  - Sovilj, Platon
AU  - Vujičić, Bojan
AU  - Pejić, Dragan
AU  - Radonjić, Aleksandar
AU  - Vujičić, Vladimir
PY  - 2020
UR  - https://weconf.eu/imeko-tc4-2020/presentation/stochastic-two-bit-on-line-temperature-measurement-with-rtd-pt-100-sensor-operating-in-a-nonlinear-mode
UR  - https://dais.sanu.ac.rs/123456789/9996
AB  - The paper proposes a method and device for on-line temperature measurement with Pt-100 sensor operating in a nonlinear mode. The sensor measures the temperature in range of 00C to 2000C, whereas the measured data are processed by applying a two-bit stochastic digital measurement method. The proposal is theoretically analyzed and tested experimentally. It is shown that the accuracy of the method depends on the accuracy of the sensor. At a sampling frequency of 1 MHz, the maximum accuracy is reached in 17.5 sec. and is equal to 0.015% of full scale (FS). On the other hand, when the measurement time interval is 0.1 sec. (the shortest measurement interval), the accuracy is equal to 0.1% of FS. Therefore, the proposed device can be used for both calibration and measurement purposes.
PB  - International Measurement Confederation
C3  - 24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020
T1  - Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode
ER  - 
@conference{
author = "Sovilj, Platon and Vujičić, Bojan and Pejić, Dragan and Radonjić, Aleksandar and Vujičić, Vladimir",
year = "2020",
url = "https://weconf.eu/imeko-tc4-2020/presentation/stochastic-two-bit-on-line-temperature-measurement-with-rtd-pt-100-sensor-operating-in-a-nonlinear-mode, https://dais.sanu.ac.rs/123456789/9996",
abstract = "The paper proposes a method and device for on-line temperature measurement with Pt-100 sensor operating in a nonlinear mode. The sensor measures the temperature in range of 00C to 2000C, whereas the measured data are processed by applying a two-bit stochastic digital measurement method. The proposal is theoretically analyzed and tested experimentally. It is shown that the accuracy of the method depends on the accuracy of the sensor. At a sampling frequency of 1 MHz, the maximum accuracy is reached in 17.5 sec. and is equal to 0.015% of full scale (FS). On the other hand, when the measurement time interval is 0.1 sec. (the shortest measurement interval), the accuracy is equal to 0.1% of FS. Therefore, the proposed device can be used for both calibration and measurement purposes.",
publisher = "International Measurement Confederation",
journal = "24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020",
title = "Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode"
}
Sovilj, P., Vujičić, B., Pejić, D., Radonjić, A.,& Vujičić, V. (2020). Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode.
24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020International Measurement Confederation., null. 
Sovilj P, Vujičić B, Pejić D, Radonjić A, Vujičić V. Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode. 24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020. 2020;

Stochastic measurement of wind power using a two-bit A/D converter

Vujičić, Vladimir; Ličina, Boris; Pejić, Dragan; Sovilj, Platon; Radonjić, Aleksandar

(Elsevier, 2020)

TY  - JOUR
AU  - Vujičić, Vladimir
AU  - Ličina, Boris
AU  - Pejić, Dragan
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2020
UR  - http://www.sciencedirect.com/science/article/pii/S0263224119310504
UR  - http://dais.sanu.ac.rs/123456789/6913
AB  - This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.
PB  - Elsevier
T2  - Measurement
T1  - Stochastic measurement of wind power using a two-bit A/D converter
SP  - 107184
DO  - 10.1016/j.measurement.2019.107184
ER  - 
@article{
author = "Vujičić, Vladimir and Ličina, Boris and Pejić, Dragan and Sovilj, Platon and Radonjić, Aleksandar",
year = "2020",
url = "http://www.sciencedirect.com/science/article/pii/S0263224119310504, http://dais.sanu.ac.rs/123456789/6913",
abstract = "This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.",
publisher = "Elsevier",
journal = "Measurement",
title = "Stochastic measurement of wind power using a two-bit A/D converter",
pages = "107184",
doi = "10.1016/j.measurement.2019.107184"
}
Vujičić, V., Ličina, B., Pejić, D., Sovilj, P.,& Radonjić, A. (2020). Stochastic measurement of wind power using a two-bit A/D converter.
MeasurementElsevier., null, 107184. 
https://doi.org/10.1016/j.measurement.2019.107184
Vujičić V, Ličina B, Pejić D, Sovilj P, Radonjić A. Stochastic measurement of wind power using a two-bit A/D converter. Measurement. 2020;:107184
1
1
3

Stochastic measurement of wind power using a two-bit A/D converter

Vujičić, Vladimir; Ličina, Boris; Pejić, Dragan; Sovilj, Platon; Radonjić, Aleksandar

(Elsevier, 2020)

TY  - JOUR
AU  - Vujičić, Vladimir
AU  - Ličina, Boris
AU  - Pejić, Dragan
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2020
UR  - http://www.sciencedirect.com/science/article/pii/S0263224119310504
UR  - http://dais.sanu.ac.rs/123456789/8946
AB  - This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.
PB  - Elsevier
T2  - Measurement
T1  - Stochastic measurement of wind power using a two-bit A/D converter
SP  - 107184
DO  - 10.1016/j.measurement.2019.107184
ER  - 
@article{
author = "Vujičić, Vladimir and Ličina, Boris and Pejić, Dragan and Sovilj, Platon and Radonjić, Aleksandar",
year = "2020",
url = "http://www.sciencedirect.com/science/article/pii/S0263224119310504, http://dais.sanu.ac.rs/123456789/8946",
abstract = "This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.",
publisher = "Elsevier",
journal = "Measurement",
title = "Stochastic measurement of wind power using a two-bit A/D converter",
pages = "107184",
doi = "10.1016/j.measurement.2019.107184"
}
Vujičić, V., Ličina, B., Pejić, D., Sovilj, P.,& Radonjić, A. (2020). Stochastic measurement of wind power using a two-bit A/D converter.
MeasurementElsevier., null, 107184. 
https://doi.org/10.1016/j.measurement.2019.107184
Vujičić V, Ličina B, Pejić D, Sovilj P, Radonjić A. Stochastic measurement of wind power using a two-bit A/D converter. Measurement. 2020;:107184
1
1
3

Stochastic Digital Measurement Method and Its Application in Signal Processing

Radonjić, Aleksandar; Sovilj, Platon; Đorđević Kozarov, Jelena; Vujičić, Vladimir

(Hauppauge : Nova Science Publishers, 2019)

TY  - CHAP
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Đorđević Kozarov, Jelena
AU  - Vujičić, Vladimir
PY  - 2019
UR  - http://dais.sanu.ac.rs/123456789/6178
AB  - Classical measurement approach is often described as a process of discretizing an analogue signal in order to easily process it in some type of digital signal processor. Although this approach has been considered to be universally applicable, practical experience has shown that some signals (e.g. fast and/or noisy signals) cannot be always precisely measured. To overcome this problem, in the late 1990s, a new measurement approach called stochastic digital measurement method (SDMM) was presented. At the beginning, this method was intended for high-precision measurements of the integral (the mean value) of a product of two signals. However, in the late 2000s, it was shown that SDMM can be used to compute the Discrete Fourier Transform (DFT). Compared to the classical DFT/FFT processors, SDMM-based ones have two important advantages: first, they are much simpler and cheaper to implement, and second, they allow us to compute individual DFT components either in isolation or in parallel. This chapter is a review of the evolution of SDMM with a special emphasis on a two-bit SDMM. Topics covered include: theoretical foundations of SDMM, the architecture of SDMM-DFT processor and an example of prototype instrument used in power grid networks.
PB  - Hauppauge : Nova Science Publishers
T2  - Advances in Engineering Research. Volume 27
T1  - Stochastic Digital Measurement Method and Its Application in Signal Processing
SP  - 169
EP  - 190
ER  - 
@article{
author = "Radonjić, Aleksandar and Sovilj, Platon and Đorđević Kozarov, Jelena and Vujičić, Vladimir",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6178",
abstract = "Classical measurement approach is often described as a process of discretizing an analogue signal in order to easily process it in some type of digital signal processor. Although this approach has been considered to be universally applicable, practical experience has shown that some signals (e.g. fast and/or noisy signals) cannot be always precisely measured. To overcome this problem, in the late 1990s, a new measurement approach called stochastic digital measurement method (SDMM) was presented. At the beginning, this method was intended for high-precision measurements of the integral (the mean value) of a product of two signals. However, in the late 2000s, it was shown that SDMM can be used to compute the Discrete Fourier Transform (DFT). Compared to the classical DFT/FFT processors, SDMM-based ones have two important advantages: first, they are much simpler and cheaper to implement, and second, they allow us to compute individual DFT components either in isolation or in parallel. This chapter is a review of the evolution of SDMM with a special emphasis on a two-bit SDMM. Topics covered include: theoretical foundations of SDMM, the architecture of SDMM-DFT processor and an example of prototype instrument used in power grid networks.",
publisher = "Hauppauge : Nova Science Publishers",
journal = "Advances in Engineering Research. Volume 27",
title = "Stochastic Digital Measurement Method and Its Application in Signal Processing",
pages = "169-190"
}
Radonjić, A., Sovilj, P., Đorđević Kozarov, J.,& Vujičić, V. (2019). Stochastic Digital Measurement Method and Its Application in Signal Processing.
Advances in Engineering Research. Volume 27Hauppauge : Nova Science Publishers., null, 169-190. 
Radonjić A, Sovilj P, Đorđević Kozarov J, Vujičić V. Stochastic Digital Measurement Method and Its Application in Signal Processing. Advances in Engineering Research. Volume 27. 2019;:169-190

Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction

Vujičić, Vladimir; Sokola, Marija; Radonjić, Aleksandar; Sovilj, Platon

(Belgrade : Academic Mind, 2019)

TY  - CONF
AU  - Vujičić, Vladimir
AU  - Sokola, Marija
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
PY  - 2019
UR  - http://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
ER  - 
@conference{
author = "Vujičić, Vladimir and Sokola, Marija and Radonjić, Aleksandar and Sovilj, Platon",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6960",
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"
}
Vujičić, V., Sokola, M., Radonjić, A.,& Sovilj, P. (2019). Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction.
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. godineBelgrade : Academic Mind., null, 471-474. 
Vujičić V, Sokola M, Radonjić A, Sovilj P. Measurement in Fourier domain – a Natural Method of Big Data Volume Reduction. 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

Stochastic Digital Measurement Method and Its Application in Signal Processing

Radonjić, Aleksandar; Sovilj, Platon; Đorđević Kozarov, Jelena; Vujičić, Vladimir

(Hauppauge : Nova Science Publishers, 2019)

TY  - CHAP
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Đorđević Kozarov, Jelena
AU  - Vujičić, Vladimir
PY  - 2019
UR  - http://dais.sanu.ac.rs/123456789/6179
AB  - Classical measurement approach is often described as a process of discretizing an analogue signal in order to easily process it in some type of digital signal processor. Although this approach has been considered to be universally applicable, practical experience has shown that some signals (e.g. fast and/or noisy signals) cannot be always precisely measured. To overcome this problem, in the late 1990s, a new measurement approach called stochastic digital measurement method (SDMM) was presented. At the beginning, this method was intended for high-precision measurements of the integral (the mean value) of a product of two signals. However, in the late 2000s, it was shown that SDMM can be used to compute the Discrete Fourier Transform (DFT). Compared to the classical DFT/FFT processors, SDMM-based ones have two important advantages: first, they are much simpler and cheaper to implement, and second, they allow us to compute individual DFT components either in isolation or in parallel. This chapter is a review of the evolution of SDMM with a special emphasis on a two-bit SDMM. Topics covered include: theoretical foundations of SDMM, the architecture of SDMM-DFT processor and an example of prototype instrument used in power grid networks.
PB  - Hauppauge : Nova Science Publishers
T2  - Advances in Engineering Research. Volume 27
T1  - Stochastic Digital Measurement Method and Its Application in Signal Processing
SP  - 169
EP  - 190
ER  - 
@article{
author = "Radonjić, Aleksandar and Sovilj, Platon and Đorđević Kozarov, Jelena and Vujičić, Vladimir",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6179",
abstract = "Classical measurement approach is often described as a process of discretizing an analogue signal in order to easily process it in some type of digital signal processor. Although this approach has been considered to be universally applicable, practical experience has shown that some signals (e.g. fast and/or noisy signals) cannot be always precisely measured. To overcome this problem, in the late 1990s, a new measurement approach called stochastic digital measurement method (SDMM) was presented. At the beginning, this method was intended for high-precision measurements of the integral (the mean value) of a product of two signals. However, in the late 2000s, it was shown that SDMM can be used to compute the Discrete Fourier Transform (DFT). Compared to the classical DFT/FFT processors, SDMM-based ones have two important advantages: first, they are much simpler and cheaper to implement, and second, they allow us to compute individual DFT components either in isolation or in parallel. This chapter is a review of the evolution of SDMM with a special emphasis on a two-bit SDMM. Topics covered include: theoretical foundations of SDMM, the architecture of SDMM-DFT processor and an example of prototype instrument used in power grid networks.",
publisher = "Hauppauge : Nova Science Publishers",
journal = "Advances in Engineering Research. Volume 27",
title = "Stochastic Digital Measurement Method and Its Application in Signal Processing",
pages = "169-190"
}
Radonjić, A., Sovilj, P., Đorđević Kozarov, J.,& Vujičić, V. (2019). Stochastic Digital Measurement Method and Its Application in Signal Processing.
Advances in Engineering Research. Volume 27Hauppauge : Nova Science Publishers., null, 169-190. 
Radonjić A, Sovilj P, Đorđević Kozarov J, Vujičić V. Stochastic Digital Measurement Method and Its Application in Signal Processing. Advances in Engineering Research. Volume 27. 2019;:169-190

Naturally weighted measurement data in power grid – measurement data in Fourier domain

Vujičić, Vladimir; Radonjić, Aleksandar; Sovilj, Platon

(ETRAN, 2018)

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  - http://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
ER  - 
@conference{
author = "Vujičić, Vladimir and Radonjić, Aleksandar and Sovilj, Platon",
year = "2018",
url = "https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf, http://dais.sanu.ac.rs/123456789/4633",
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"
}
Vujičić, V., Radonjić, A.,& Sovilj, P. (2018). Naturally weighted measurement data in power grid – measurement data in Fourier domain.
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: ProgramETRAN., null. 
Vujičić V, Radonjić A, Sovilj P. Naturally weighted measurement data in power grid – measurement data in Fourier domain. IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;

Stochastic digital DFT processor and its application to measurement of reactive power and energy

Pejić, Dragan; Naumović Vuković, Dragana; Vujičić, Bojan; Radonjić, Aleksandar; Sovilj, Platon; Vujičić, Vladimir

(Elsevier, 2018)

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - http://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
ER  - 
@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
url = "http://dais.sanu.ac.rs/123456789/3698",
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"
}
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.
Measurement: Journal of the International Measurement ConfederationElsevier., 124, 494-504. 
https://doi.org/10.1016/j.measurement.2018.04.004
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. Measurement: Journal of the International Measurement Confederation. 2018;124:494-504
5
6
7

Stochastic digital DFT processor and its application to measurement of reactive power and energy

Pejić, Dragan; Naumović Vuković, Dragana; Vujičić, Bojan; Radonjić, Aleksandar; Sovilj, Platon; Vujičić, Vladimir

(Elsevier, 2018)

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - http://dais.sanu.ac.rs/123456789/3698
UR  - http://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
ER  - 
@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
url = "http://dais.sanu.ac.rs/123456789/3698, http://dais.sanu.ac.rs/123456789/4607",
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"
}
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.
Measurement: Journal of the International Measurement ConfederationElsevier., 124, 494-504. 
https://doi.org/10.1016/j.measurement.2018.04.004
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. Measurement: Journal of the International Measurement Confederation. 2018;124:494-504
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Reconstruction of an analog signal measured using two-bit stochastic digital measurement method

Vujičić, Bojan; Zupunski, Ljubica; Sovilj, Platon; Radonjić, Aleksandar

(IEEE, 2017)

TY  - CONF
AU  - Vujičić, Bojan
AU  - Zupunski, Ljubica
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2017
UR  - http://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
ER  - 
@conference{
author = "Vujičić, Bojan and Zupunski, Ljubica and Sovilj, Platon and Radonjić, Aleksandar",
year = "2017",
url = "http://dais.sanu.ac.rs/123456789/3683",
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"
}
Vujičić, B., Zupunski, L., Sovilj, P.,& Radonjić, A. (2017). Reconstruction of an analog signal measured using two-bit stochastic digital measurement method.
IEEE EUROCON 2017 - 17th International Conference on Smart TechnologiesIEEE., null, 829-831. 
https://doi.org/10.1109/EUROCON.2017.8011227
Vujičić B, Zupunski L, Sovilj P, Radonjić A. Reconstruction of an analog signal measured using two-bit stochastic digital measurement method. IEEE EUROCON 2017 - 17th International Conference on Smart Technologies. 2017;:829-831
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