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      <comment>T. Dabóczi acknowledges the financial support of Project no. RRF-2.3.1-21-2022-00009, titled National Laboratory for  Renewable  Energy,  provided  by  the  Recovery  and Resilience  Facility  of  the  European  Union  within  the framework of Program Széchenyi Plan Plus.</comment>
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      <abstractText>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.</abstractText>
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&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;35801834&quot; target=&quot;_blank&quot;&gt;Bandwidth Enhancement of a Current Sensing Trace by Adaptive Inverse Filtering&lt;/a&gt;&lt;/div&gt;    &lt;div&gt;		&lt;span class=&quot;journal-title&quot;&gt;PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE&lt;/span&gt;

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	pp 198-206
			
&lt;/span&gt;		 &lt;span class=&quot;year&quot;&gt;(2025)&lt;/span&gt;  
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				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Electrical and Electronic Engineering&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q3&lt;/div&gt;
				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Information Systems&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q3&lt;/div&gt;
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    &lt;div class=&quot;mtid&quot;&gt;&lt;span class=&quot;long-pub-mtid&quot;&gt;Közlemény: 35801834&lt;/span&gt;
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Forrás	
	
	
    | &lt;span class=&quot;type-subtype&quot;&gt;Folyóiratcikk
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&lt;div class=&quot;funder&quot;&gt; Megújuló Energiák Nemzeti Laboratórium(RRF-2.3.1-21-2022-00009)   &lt;/div&gt;
&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2025.06.17. 08:33 Andódy Katalin (BME admin4)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: T. Dabóczi acknowledges the financial support of Project no. RRF-2.3.1-21-2022-00009, titled National Laboratory for  Renewable  Energy,  provided  by  the  Recovery  and Resilience  Facility  of  the  European  Union  within  the framework of Program Széchenyi Plan Plus.&lt;/pre&gt;

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Forrás	
	
	
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&lt;div class=&quot;funder&quot;&gt; Megújuló Energiák Nemzeti Laboratórium(RRF-2.3.1-21-2022-00009)   &lt;/div&gt;
&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2025.07.14. 16:14 Andódy Katalin (BME admin4)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: Project no. RRF-2.3.1-21-2022-00009, titled National Laboratory for Renewable Energy has been implemented with the support provided by the
Recovery and Resilience Facility of the European Union within the framework of Programme Széchenyi Plan Plus.&lt;/pre&gt;
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      <comment>Export Date: 19 January 2024            
            CODEN: IEIMA            
            Correspondence Address: Hegedus, Á.F.; The Department of Measurement and Information Systems, Hungary; email: hegedus43akos@yahoo.com            
            Funding details: 2019-1.3.1-KK-2019-00004            
            Funding details: National Renewable Energy Laboratory, NREL, RRF-2.3.1-21-2022-00009            
            Funding text 1: The work of Tamás Dabóczi was supported in part by the National Research, Development, and Innovation Fund of Hungary through the 2019-1.3.1-KK Funding Scheme, under Project 2019-1.3.1-KK-2019-00004; and in part by the Recovery and Resilience Facility of the European Union Within the Framework of Program Széchenyi Plan Plus through National Laboratory for Renewable Energy under Project RRF-2.3.1-21-2022-00009.</comment>
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      <abstractText>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.</abstractText>
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&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2025.03.03. 13:49 Szatmári Erika (BME admin4)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: Export Date: 19 January 2024            
            CODEN: IEIMA            
            Correspondence Address: Hegedus, Á.F.; The Department of Measurement and Information Systems, Hungary; email: hegedus43akos@yahoo.com            
            Funding details: 2019-1.3.1-KK-2019-00004            
            Funding details: National Renewable Energy Laboratory, NREL, RRF-2.3.1-21-2022-0000...&lt;/pre&gt;

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&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2025.03.03. 13:48 Szatmári Erika (BME admin4)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: Funding Agency and Grant Number: National Research, Development, and Innovation Fund of Hungary [TKP2021-EGA-02, 2019-1.3.1-KK]
            Funding text: This work was supported in part by the National Research, Development, and Innovation Fund of Hungary under Grant TKP2021-EGA-02 and Grant 2019-1.3.1-KK.&lt;/pre&gt;

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      <label>Dabóczi Tamás. Méréstechnikai feladatok inverz problémái és algoritmusai. (2020) Megjelent: Mérés- és adattudomány pp. 123-178</label><template>&lt;div class=&quot;BookChapter Publication short-list&quot;&gt; &lt;div class=&quot;authors&quot;&gt; &lt;span class=&quot;author-name&quot; mtid=&quot;10000656&quot;&gt; &lt;a href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10000656&quot; target=&quot;_blank&quot;&gt;Dabóczi, Tamás&lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; &lt;/div &gt;&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;31332924&quot; mtid=&quot;31332924&quot; target=&quot;_blank&quot;&gt;Méréstechnikai feladatok inverz problémái és algoritmusai&lt;/a&gt;&lt;/div&gt; &lt;div class=&quot;InBook&quot;&gt;In: Péceli, Gábor (szerk.) &lt;span class=&quot;booktitle&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;31268160&quot; target=&quot;_blank&quot;&gt;Mérés- és adattudomány : Válogatott fejezetek &lt;/a&gt;&lt;/span &gt; &lt;/div&gt;&lt;div class=&quot;pub-info&quot;&gt; 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      <title>Új jelút-kompenzációs eljárások</title>
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      <publishedYear>2019</publishedYear>
      <abstractText>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
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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.</abstractText>
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given alignment between the input signal and the template 
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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 
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