@article{MTMT:35801834,
	title = {Bandwidth Enhancement of a Current Sensing Trace by Adaptive Inverse Filtering},
	url = {https://m2.mtmt.hu/api/publication/35801834},
	author = {Hegedüs, Ákos Ferenc and Dabóczi, Tamás},
	doi = {10.3311/PPee.38815},
	journal-iso = {PERIOD POLYTECH ELECTR ENG COMP SCI},
	journal = {PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE},
	volume = {69},
	unique-id = {35801834},
	issn = {2064-5260},
	abstract = {In our previous article we proposed a novel current measurement technique, the CSRTRI (Current Sensing by Real-Time Resistance Identification), which is characterized by the main principle of the in-situ identification of the current rail's resistance by an auxiliary inductive coil in the face of continuously varying conductor-temperature. The feasibility of the method was shown, and an accuracy of 0.93%...1.10% was demonstrated. The accuracy is limited by the stray inductance of the Cu-trace, which in combination with the resistance forms a temperature dependent highpass filter. We introduced an analog RC-lowpass filter based compensation method at 25°C nominal temperature and reached a bandwidth of 2 MHz. In this paper, we present an adaptive digital inverse filtering based compensation method instead. The advantage of this approach is that it covers the whole temperature range of the sensor, not just a narrow nominal value. The enhancement does not require any additional temperature sensor; we will utilize the instantaneous estimate of the copper trace’s resistance from the CSRTRI-algorithm directly to identify the cutoff frequency of the parasitic highpass filter in situ, without the need to determine the copper temperature itself. A temperature dependent time-varying first order lowpass filter of approximately 48 kHz cutoff frequency is applied to eliminate the main inductive overshoots. By this software-based transfer function enhancement a 1.5 MHz overall system bandwidth has been achieved between 20°C and 50°C conductor-temperature.},
	year = {2025},
	eissn = {2064-5279},
	pages = {198-206},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@inproceedings{MTMT:36193741,
	title = {Design of an Experimental Measurement and Control System for a Custom Hydrogen Fuel Cell},
	url = {https://m2.mtmt.hu/api/publication/36193741},
	author = {Scherer, Balázs and Raikovich, Tamás and Ország, Bence László and Dabóczi, Tamás},
	booktitle = {2025 26th International Carpathian Control Conference (ICCC)},
	doi = {10.1109/ICCC65605.2025.11022903},
	unique-id = {36193741},
	abstract = {This paper presents a design of an experimental electric measurement and control system for a custom hydrogen PEM (Proton-Exchange Membrane) fuel cell stack. The article briefly describes the operating principle of closed cathode PEM hydrogen fuel cells. Then a simple balance of plant for controlling a unique fuel cell stack developed by our project partner, the HUN-REN Institute of Materials and Environmental Chemistry, Renewable Energy Research Group, with special membranes will be introduced. The paper briefly presents the sensors and actuators selected for this setup, as well as the hardware and software of the control electronics. The article concludes by presenting the results of measurements taken in the test environment. After presenting these results, we discuss those parts of the project that build on the results of these experimental measurements and have promising research potential.},
	year = {2025},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@article{MTMT:34516445,
	title = {A Wideband Current Sensing Method Based on Real-Time Resistance Identification},
	url = {https://m2.mtmt.hu/api/publication/34516445},
	author = {Hegedüs, Ákos Ferenc and Dabóczi, Tamás},
	doi = {10.1109/TIM.2023.3338684},
	journal-iso = {IEEE T INSTRUM MEAS},
	journal = {IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT},
	volume = {73},
	unique-id = {34516445},
	issn = {0018-9456},
	abstract = {This present article introduces a wideband current measurement method for PWM-controlled power systems, based on the combination of the voltage drop on a resistive conductor element in the current path, such as current bar or Cu-trace on a printed circuit board (PCB) or direct copper bonding (DCB), and of the inductive signal coming from an auxiliary coil system coupled to the same current. The main principle behind this both AC- and DC-capable, cost-effective current sensing approach, which is on top potentially superior to shunts from the thermal management point of view, is the real-time resistance identification (RTRI) of the Cu-trace in situ through the auxiliary inductive current sensor (ICS) and a band-selective signal processing algorithm. The ICS does not need to have high bandwidth since the temperature-driven resistance drift takes place at low rate and the PWM frequency is typically between 1 and 100 kHz. Still, the resultant composite current sensor can be part of high-speed converters’ current control loop. The feasibility of the method was demonstrated by designing, manufacturing, calibrating, and testing a PCB-based prototype of the sensor system. We excited it with unipolar triangle-like current waveforms having high DC content to emulate the expectable current signals with current ripples. The dynamic current measurement results were verified using a series shunt as a reference. Based on this, the achieved accuracy of our method, for the applied waveforms up to 100 A and beside Cu-temperatures between 17 ◦C and 62 ◦C, was shown to be between 0.93% and 1.10%. For completeness, the expectable Cu-resistance was also determined in parallel, by direct onboard temperature measurement, showing excellent correlation with our algorithm. © 2024 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.},
	keywords = {Applications; Trace Elements; Real time systems; Instruments; Electromagnetic induction; Transducers; Temperature measurement; Cost effectiveness; Electric current control; current; Pulse width modulation; Sensor fusion; Sensor fusion; Current measurement; Wide-band; Sensor systems; Sensor systems; Electric current measurement; Printed circuit boards; current control; Inductive couplings; inductive coupling; Current sensing; Current sensors; Inductive sensors; 'current; Real- time; resistive transducers; inductive transducers; inductive transducers; Resistive transducer},
	year = {2024},
	eissn = {1557-9662},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@inproceedings{MTMT:34726765,
	title = {Design Optimization of a Current Sensing Trace with respect to Skin Effect by FEM Simulations},
	url = {https://m2.mtmt.hu/api/publication/34726765},
	author = {Hegedüs, Ákos Ferenc and Dabóczi, Tamás},
	booktitle = {Proceedings of the 31th Minisymposium},
	doi = {10.3311/MINISY2024-001},
	unique-id = {34726765},
	year = {2024},
	pages = {1-6},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@article{MTMT:32796077,
	title = {A High-Speed Current Sensing Method based on a Nonlinear Current Divider and Optical Coupling in the NIR Spectrum},
	url = {https://m2.mtmt.hu/api/publication/32796077},
	author = {Hegedüs, Ákos Ferenc and Dabóczi, Tamás},
	doi = {10.1109/TIM.2022.3165253},
	journal-iso = {IEEE T INSTRUM MEAS},
	journal = {IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT},
	volume = {71},
	unique-id = {32796077},
	issn = {0018-9456},
	year = {2022},
	eissn = {1557-9662},
	pages = {1-11},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@{MTMT:31886078,
	title = {Inverse problems and algorithms of measurement science},
	url = {https://m2.mtmt.hu/api/publication/31886078},
	author = {Dabóczi, Tamás},
	booktitle = {Measurement and Data Science},
	unique-id = {31886078},
	keywords = {Inverse problems; NONLINEAR INVERSION; Sensor fusion; inverse filter algorithm},
	year = {2021},
	pages = {138-207},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@article{MTMT:31331880,
	title = {Inverse algorithms—powerful tools to improve measurement systems},
	url = {https://m2.mtmt.hu/api/publication/31331880},
	author = {Dabóczi, Tamás},
	doi = {10.1109/MIM.2020.9062690},
	journal-iso = {IEEE INSTRUM MEAS MAG},
	journal = {IEEE INSTRUMENTATION AND MEASUREMENT MAGAZINE},
	volume = {23},
	unique-id = {31331880},
	issn = {1094-6969},
	year = {2020},
	eissn = {1941-0123},
	pages = {61-70},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@{MTMT:31332924,
	title = {Méréstechnikai feladatok inverz problémái és algoritmusai},
	url = {https://m2.mtmt.hu/api/publication/31332924},
	author = {Dabóczi, Tamás},
	booktitle = {Mérés- és adattudomány},
	unique-id = {31332924},
	year = {2020},
	pages = {123-178},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@mastersthesis{MTMT:30742762,
	title = {Új jelút-kompenzációs eljárások},
	url = {https://m2.mtmt.hu/api/publication/30742762},
	author = {Dabóczi, Tamás},
	unique-id = {30742762},
	abstract = {Műszaki alkotások nagyon széles körében a körülöttünk lévő fizikai világot valamilyen
		érzékelő/mérőrendszerrel figyeljük meg. Ezen információ birtokában hoz akár az ember,
		akár egy autonóm számítógépes rendszer döntéseket, és ez alapján avatkozik be a külvilágba
		egy beágyazott rendszer (embedded system). A döntés és beavatkozás helyességét,
		minőségét alapvetően befolyásolja, hogy az elsődleges információ a fizikai világról
		mennyire pontos. Kutatásaim keretében a külvilág megfigyelésére szolgáló eszközök
		pontosságának digitális jelfeldolgozással való javításával foglalkoztam.
		A téma fontosságát hangsúlyozza, hogy a számítástechnika, szenzortechnika,
		mikroelektronika, szoftvertechnológia fejlődésével egyre bonyolultabb autonóm rendszerek
		vesznek minket körül, melyek gyakran egymással is intenzív kapcsolatban állnak a gyors
		hálózati elérés révén (ad-hoc hálózatok, mobil internet, 5G). Összehangolva oldanak meg
		bonyolult feladatokat, mint például autonóm vezetés, adaptív forgalomirányítás, teherautók
		automatikus rajban mozgása vagy közlekedő robotok egy raktártérben, ahol emberek is
		tartózkodnak. Az ilyen, fizikai világgal kapcsolatban álló, egymással hálózatba kapcsolt,
		bonyolult rendszereket hívjuk kiberfizikai rendszereknek (Cyber-Physical Systems, CPS).
		A fenti alkalmazások mindegyikére jellemző, hogy a világról, a fizikai mennyiségekről
		(tárgyak helyzete, mozgása, hőmérséklet, nyomás stb.) pontos információra van
		szükségünk. Ezen információk birtokában születik meg a döntés, bonyolult
		információfeldolgozási algoritmusok segítségével.
		Napjainkban a beágyazott- és a kiberfizikai rendszerek az információt digitálisan dolgozzák
		fel. A megfigyelés során a fizikai mennyiségtől a digitális információig tartó jelutat azonban
		sok torzító és zavaró hatás befolyásolja. Célom ezen hatások digitális jelfeldolgozási
		módszerekkel való kompenzálása vagy redukálása.
		A fizikai mennyiségről információt hordozó, de torzult és zajos analóg jelet tipikusan nem
		állítjuk helyre, hanem digitális jelfeldolgozással kompenzáljuk az ismert torzulásokat, és
		elnyomjuk a zajként kezelt zavarásokat (jelút-kompenzáció). Tökéletes rekonstrukció
		általában nem lehetséges, mert a torzulásokról csak véges pontossággal áll rendelkezésre
		információ, maga a jelút-kompenzáció is tartalmaz torzulást (pl. véges számábrázolás), és a
		megfigyelést zaj terheli.
		Kutatásaim során a jelút-kompenzáció azon változataival foglalkoztam, amik a technika
		vagy tudomány adott pillanatában kihívást jelentettek, nem voltak megoldottnak
		tekinthetők. Ezek körében súlyponti részek:
		a) a lineárisnak modellezhető rendszerek frekvenciafüggő hibáinak kompenzálása
		rosszul kondicionált esetben,
		b) a közvetve megfigyelhető rendszerek,
		c) a jelmodell-alapú rekonstrukció.},
	year = {2019},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186}
}

@article{MTMT:3343554,
	title = {Signal detection by means of orthogonal decomposition},
	url = {https://m2.mtmt.hu/api/publication/3343554},
	author = {Hajdu, Csaba and Dabóczi, Tamás and Péceli, Gábor and C, Zamantzas},
	doi = {10.1088/1748-0221/13/03/P03002},
	journal-iso = {J INSTRUM},
	journal = {JOURNAL OF INSTRUMENTATION},
	volume = {13},
	unique-id = {3343554},
	issn = {1748-0221},
	abstract = {Matched filtering is a well-known method frequently used in 
		digital signal processing to detect the presence of a pattern 
		in a signal. In this paper, we suggest a time variant matched 
		filter, which, unlike a regular matched filter, maintains a 
		given alignment between the input signal and the template 
		carrying the pattern, and can be realized recursively. We 
		introduce a method to synchronize the two signals for presence 
		detection, usable in case direct synchronization between the 
		signal generator and the receiver is not possible or not 
		practical. We then propose a way of realizing and extending the 
		same filter by modifying a recursive spectral observer, which 
		gives rise to orthogonal filter channels and also leads to 
		another way to synchronize the two signals.},
	year = {2018},
	eissn = {1748-0221},
	orcid-numbers = {Dabóczi, Tamás/0000-0002-7371-2186; Péceli, Gábor/0000-0003-0933-1175}
}