Sinewave Fitting Based on Quantization Codes and Threshold Levels | IEEE Journals & Magazine | IEEE Xplore

Sinewave Fitting Based on Quantization Codes and Threshold Levels


Abstract:

This article illustrates a method for measuring the parameters of a sinewave using information about both the codes and threshold levels in a quantizer. It is shown that ...Show More

Abstract:

This article illustrates a method for measuring the parameters of a sinewave using information about both the codes and threshold levels in a quantizer. It is shown that by adding knowledge about the threshold levels, the input signal parameters can still be recovered when very coarse quantization is applied in a case when the conventional three-parameter least-squares (LS) sinefit method fails to produce precise results. After the description of the procedure, its sensitivity to the accuracy of the frequency estimate is analyzed. Furthermore, the robustness of the method against uncertainties in the knowledge of the threshold levels is assessed. The estimation procedure is validated by extensive simulations and by experimental results obtained by measurement on a 12-bit data acquisition board. Results show that the proposed solution can significantly outperform the three-parameter LS sinefit if the number of quantizer bits is small.
Article Sequence Number: 6501111
Date of Publication: 21 February 2025

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Author image of Balázs Renczes
Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Balázs Renczes (Senior Member, IEEE) was born in Budapest, Hungary. He received the M.S. degree in electrical engineering and the Ph.D. degree from Budapest University of Technology and Economics, Budapest, Hungary, in 2013 and 2017, respectively.
Since 2023, he has been an Associate Professor at the Department of Artificial Intelligence and Systems Engineering. His current research interests include quantized signal proce...Show More
Balázs Renczes (Senior Member, IEEE) was born in Budapest, Hungary. He received the M.S. degree in electrical engineering and the Ph.D. degree from Budapest University of Technology and Economics, Budapest, Hungary, in 2013 and 2017, respectively.
Since 2023, he has been an Associate Professor at the Department of Artificial Intelligence and Systems Engineering. His current research interests include quantized signal proce...View more
Author image of Alessio De Angelis
Department of Engineering, University of Perugia, Perugia, Italy
Alessio De Angelis (Member, IEEE) received the Ph.D. degree in information engineering from the University of Perugia, Perugia, Italy, in 2009.
From 2010 to 2013, he was a Researcher with the Signal Processing Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden. Since July 2013, he has been with the Department of Engineering, University of Perugia, where he became an Associate Professor in May 2018. His resear...Show More
Alessio De Angelis (Member, IEEE) received the Ph.D. degree in information engineering from the University of Perugia, Perugia, Italy, in 2009.
From 2010 to 2013, he was a Researcher with the Signal Processing Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden. Since July 2013, he has been with the Department of Engineering, University of Perugia, where he became an Associate Professor in May 2018. His resear...View more
Author image of Antonio Moschitta
Department of Engineering, University of Perugia, Perugia, Italy
Antonio Moschitta (Member, IEEE) received the Ph.D. degree from the University of Perugia, Perugia, Italy in, 2002.
He is an Associate Professor at the University of Perugia. He is author or co-author or more than 160 papers, appearing in international journals or conference proceedings. His research interests include power quality, A/D, D/A, and time-to-digital conversion, short-range positioning, and estimation theory.
Antonio Moschitta (Member, IEEE) received the Ph.D. degree from the University of Perugia, Perugia, Italy in, 2002.
He is an Associate Professor at the University of Perugia. He is author or co-author or more than 160 papers, appearing in international journals or conference proceedings. His research interests include power quality, A/D, D/A, and time-to-digital conversion, short-range positioning, and estimation theory.View more
Author image of Paolo Carbone
Department of Engineering, University of Perugia, Perugia, Italy
Paolo Carbone (Fellow, IEEE) received the master’s and Ph.D. degrees from the University of Padua, Padua, Italy, in 1990 and 1994, respectively.
From 1994 to 1997, he was a Researcher with the Third University of Rome, Rome, Italy. From 1997 to 2002, he was first a Researcher and then an Associate Professor with the University of Perugia, Perugia, Italy. Since 2002, he has been a Full Professor with the University of Perug...Show More
Paolo Carbone (Fellow, IEEE) received the master’s and Ph.D. degrees from the University of Padua, Padua, Italy, in 1990 and 1994, respectively.
From 1994 to 1997, he was a Researcher with the Third University of Rome, Rome, Italy. From 1997 to 2002, he was first a Researcher and then an Associate Professor with the University of Perugia, Perugia, Italy. Since 2002, he has been a Full Professor with the University of Perug...View more

Author image of Balázs Renczes
Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Balázs Renczes (Senior Member, IEEE) was born in Budapest, Hungary. He received the M.S. degree in electrical engineering and the Ph.D. degree from Budapest University of Technology and Economics, Budapest, Hungary, in 2013 and 2017, respectively.
Since 2023, he has been an Associate Professor at the Department of Artificial Intelligence and Systems Engineering. His current research interests include quantized signal processing, numerical optimization, and identification of nonlinear systems.
Dr. Renczes has been an Editor of the journal Measurement since 2024.
Balázs Renczes (Senior Member, IEEE) was born in Budapest, Hungary. He received the M.S. degree in electrical engineering and the Ph.D. degree from Budapest University of Technology and Economics, Budapest, Hungary, in 2013 and 2017, respectively.
Since 2023, he has been an Associate Professor at the Department of Artificial Intelligence and Systems Engineering. His current research interests include quantized signal processing, numerical optimization, and identification of nonlinear systems.
Dr. Renczes has been an Editor of the journal Measurement since 2024.View more
Author image of Alessio De Angelis
Department of Engineering, University of Perugia, Perugia, Italy
Alessio De Angelis (Member, IEEE) received the Ph.D. degree in information engineering from the University of Perugia, Perugia, Italy, in 2009.
From 2010 to 2013, he was a Researcher with the Signal Processing Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden. Since July 2013, he has been with the Department of Engineering, University of Perugia, where he became an Associate Professor in May 2018. His research interests include instrumentation and measurement, positioning systems, and battery measurement and modeling.
Dr. De Angelis serves as an Associate Editor for IEEE Transactions on Instrumentation and Measurement since 2019.
Alessio De Angelis (Member, IEEE) received the Ph.D. degree in information engineering from the University of Perugia, Perugia, Italy, in 2009.
From 2010 to 2013, he was a Researcher with the Signal Processing Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden. Since July 2013, he has been with the Department of Engineering, University of Perugia, where he became an Associate Professor in May 2018. His research interests include instrumentation and measurement, positioning systems, and battery measurement and modeling.
Dr. De Angelis serves as an Associate Editor for IEEE Transactions on Instrumentation and Measurement since 2019.View more
Author image of Antonio Moschitta
Department of Engineering, University of Perugia, Perugia, Italy
Antonio Moschitta (Member, IEEE) received the Ph.D. degree from the University of Perugia, Perugia, Italy in, 2002.
He is an Associate Professor at the University of Perugia. He is author or co-author or more than 160 papers, appearing in international journals or conference proceedings. His research interests include power quality, A/D, D/A, and time-to-digital conversion, short-range positioning, and estimation theory.
Antonio Moschitta (Member, IEEE) received the Ph.D. degree from the University of Perugia, Perugia, Italy in, 2002.
He is an Associate Professor at the University of Perugia. He is author or co-author or more than 160 papers, appearing in international journals or conference proceedings. His research interests include power quality, A/D, D/A, and time-to-digital conversion, short-range positioning, and estimation theory.View more
Author image of Paolo Carbone
Department of Engineering, University of Perugia, Perugia, Italy
Paolo Carbone (Fellow, IEEE) received the master’s and Ph.D. degrees from the University of Padua, Padua, Italy, in 1990 and 1994, respectively.
From 1994 to 1997, he was a Researcher with the Third University of Rome, Rome, Italy. From 1997 to 2002, he was first a Researcher and then an Associate Professor with the University of Perugia, Perugia, Italy. Since 2002, he has been a Full Professor with the University of Perugia, where he teaches courses in instrumentation and measurement and in statistical signal processing. He has been involved in various research projects, sponsored by private and public funds. He has authored/co-authored more than 250 papers, appeared in international journals and conference proceedings.
Dr. Carbone was the President of the IEEE Systems Council from 2016 to 2017. Since 2018, he has been the Editor-in-Chief of the journal Measurement.
Paolo Carbone (Fellow, IEEE) received the master’s and Ph.D. degrees from the University of Padua, Padua, Italy, in 1990 and 1994, respectively.
From 1994 to 1997, he was a Researcher with the Third University of Rome, Rome, Italy. From 1997 to 2002, he was first a Researcher and then an Associate Professor with the University of Perugia, Perugia, Italy. Since 2002, he has been a Full Professor with the University of Perugia, where he teaches courses in instrumentation and measurement and in statistical signal processing. He has been involved in various research projects, sponsored by private and public funds. He has authored/co-authored more than 250 papers, appeared in international journals and conference proceedings.
Dr. Carbone was the President of the IEEE Systems Council from 2016 to 2017. Since 2018, he has been the Editor-in-Chief of the journal Measurement.View more
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