# Tamas DabocziBudapest University of Technology and Economics · Department of Measurement and Information Systems

Tamas Daboczi

Dr. habil, CSc, PhD

## About

44

Publications

9,755

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294

Citations

Introduction

**Skills and Expertise**

Additional affiliations

September 1996 - present

## Publications

Publications (44)

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 recurs...

We present a resource-efficient frequency adaptation method to complement the Fourier analyzer proposed by Péceli. The novel frequency adaptation scheme is based on the adaptive Fourier analyzer suggested by Nagy. The frequency adaptation method was elaborated with a view to realizing a detector connectivity check on an FPGA in a new beam loss moni...

In this paper, three- and four-parameter least
squares (LS) sine fitting algorithms are investigated. It is pointed
out that the three-parameter fitting is well conditioned in its
standard form, both for short and long records. Then, the
conditioning of the four-parameter fitting (4PF) is investigated.
A scaling factor is derived in order to ensure...

Beam loss monitoring (BLM) is a method widely used for machine setup and tuning at particle accelerators, e.g. in physics research and medical applications. Additionally, the higher the energy and intensity of the particle beams, the more important the role of the BLM system in machine protection, which becomes critical for machines employing super...

Deconvolution (or inverse filtering) is applied if a time, space, or other domain signal is distorted by a measurement system and one wants to reconstruct the signal to be measured. This is an estimation process since the measurement is always corrupted by noise. The estimation problem is usually ill posed, meaning that even very slight changes in...

Marker-based optical position measurement is investigated in this paper. If the exposure time is not very short, it might cause the blur of the marker on the image if fast movement needs to be recorded. This paper investigates the effect of blur on the center point estimate and provides a measure for the distortion to help adjust camera parameters...

The FIRST/IoT project coordinated by the Faculty of Informatics, University of Debrecen, Hungary has important impact on the R&D work in this field. Six activity areas have been covered in the twenty-seven months long project. More than thirty researchers from half dozen Hungarian and other universities and research institutes have been involved in...

The proposed applications of Internet of Things (IoT) are abundant (smart buildings, smart cities, smart infrastructure, vehicle to vehicle, vehicle to road communications, smart utilities, wearable computing, etc.). However, the construction and operation (Constructability and Operability) of such large scale distributed embedded systems are not s...

A common method to test analog-to-digital converters (ADCs) is sine fitting. If a very large set of samples needs to be processed (long records), the iterative four-parameter sine fit algorithm is very sensitive to the initial estimate of the fundamental frequency. Even a slight error in the initial guess can spoil the fit because of the several lo...

Testing Analog-to-Digital Converters is important for both the manufacturer and the consumer. One of the test procedures require to excite the ADC with a pure sine wave, and calculate the errors (SINAD, SNR, ENOB, THD+N etc.) of the Device Under Test from the acquired signal. The error definitions are based on the difference between the reference s...

A common method to test AD converters is the sine fitting. If very large dataset needs to be processed (long records), the iterative four parameter sine fit algorithm is very sensitive to the initial value of the fundamental frequency estimator. Even a very slight error in the initial guess can spoil the fit because of the local minima in the error...

In this paper, several methods are presented to fully calibrate a stereo vision system for far-range outdoor applications. Traditionally, intrinsic camera parameters are determined from a high number of feature points, while pose estimation is solved with a few (tens). Close-range setups are not well suited for far-range applications, while far-ran...

This paper presents a method for calculating the accurate inclination angle of a balancing robot using accelerometers and optionally angular rate sensor (rate gyroscope), based on systematic correction of sensor errors. The correction is calculated on the basis of physical model of the system. The basic idea of accelerometer-based inclination measu...

Industrial applications, especially automotive ones should be robust and cheap. Both properties can be improved by using model based state estimation. Sensor cost can be reduced if some signal values are calculated from the other, already measured signals or the robustness of the system can be increased by supervising the sensors by calculating the...

This paper is the second presented in this conference dealing with permanent magnet synchronous machine model identification. Main purpose of the research introduced in this paper, besides to introduce a new parameter estimation method, was to investigate the cost function properties. Understanding shape and behaviour of the cost function helps the...

This work was supported by the Hungarian National Office for Research and Technology through the project "Advanced Vehicles and Vehicle Control Knowledge Center" (OMFB01418/2004) which is gratefully acknowledged.

This paper reports advances in model based machine torque estimation used in electronic power assisted steering systems. Using machine input voltages the permanent magnet synchronous machine internal states and the output torque can be estimated. This technique can be used to detect machine failures and also can be used to verify the failure of the...

This paper reports advances in sensorless rotor position estimation in motor control of electronic power assisted steering systems (EPAS). A systematic calculation error was discovered in the INFORM - a saliency based sensorless rotor position estimation method, - when it was applied to permanent magnet synchronous machines (PMSMs). A solution was...

A far-range camera calibration method for vision sensors used in automatic lane detection systems is investigated. Autonomous vehicle guidance based on stereo image acquisition requires the knowledge of the camera parameters, such as camera position, orientation, lens distortion, focal length etc. with high precision. Calibration is performed by pl...

The paper presented a DSP-based electromagnetic flowmeter. There are 4 pairs of electrodes and a pressure sensor for effective flowrate measurement in partially filled pipes. Although this setup is able to measure different flow profiles, our development focused on the improvement of measurement accuracy by signal processing methods. A sinusoidal e...

Inverse filtering of time domain signals is investigated. Inverse filtering requires the knowledge of the transfer function of the measurement system, which can be estimated on the base of measurements (system identification). The quality of the system identification influences the quality of the signal reconstruction. We investigate the influence...

This paper reports advances in the design and development of decoupling method in motor control of electric power assisted steering (EPAS) systems. A motor model for permanent magnet synchronous machines (PMSM) is described. Implementation details, simulation and measurement results are also presented

An approach for automatically testing GUIs in the MATLAB environment has been proposed. We developed a software tool that tests GUIs by simulating the user through an action recorder. We proposed a heuristic test procedure: providing random input to GUI, but guiding the randomness with predefined weights assigned to the user controls. The weights c...

A signal distorted by a system having static, invertible, nonlinear characteristics can be exactly restored in the absence of noise. In this case, the inverse of the characteristics can be used. When noise is superimposed to the distorted signal, the inverse characteristics may not be proper because the noise is strongly amplified. This noise has t...

When a signal passes a system having a static, nonlinear transfer function, the output signal will be distorted. In addition to it, the defected output signal is usually contaminated by noise, due to the noisy environment. If the distortion level of the signal is not acceptable, we have to compensate it. This should be done carefully, because an im...

When a signal goes through a system having a static, nonlinear transfer function, the output signal will be distorted. In addition, the detected output signal is usually contaminated by noise, due to the noisy environment. If we compensate the nonlinearity with its inverse, the expected value of the output signal will be different from it's origina...

In this paper a robust and efficient method is presented for restoration of nonlinearly distorted movie soundtracks. The method is based on the a priori knowledge of the shape of the nonlinear function, which is assumed to be a static nonlinearity. The original undistorted signal is modeled by a set of harmonically related sinusoids. This signal is...

The quality of images is limited by the performance of the optical
system used. The imperfections of the optical system cause distortion of
the image. If the distortion is known it can be (partly) compensated.
This procedure is called inverse filtering. The problem is, however,
ill-posed, which means that the measurement noise is amplified by the
i...

A signal distorted by static, invertible, nonlinear
characteristics can be exactly restored in the absence of noise. In this
case the inverse of the characteristics can be used. When noise is
superimposed to the distorted signal, the inverse characteristics may
not be proper, because the noise is strongly amplified. This noise has
to be suppressed...

The quality of images are limited by the performance of the optical system used. The imperfection of the optical system cause distortion of the image. If the distortion is known it can be (partly) compensated. This procedure is called inverse filtering. The problem is, however, ill-posed, which means that the measurement noise is amplified by the i...

Time domain measurements are distorted by the measurement system
if the bandwidth of the system is not sufficiently high compared to that
of the signal to be measured. If the distortion is known the measured
signal can be compensated for it (inverse filtering or deconvolution).
Since the measurement is always corrupted by noise, the reconstruction...

A system is described for calibrating high-bandwidth oscilloscopes
using pulse signals. The fast-pulse oscilloscope calibration system
(FPOCS) is to be used to determine the step response parameters for
digitizing oscilloscopes having bandwidths of ~20 GHz. The system can
provide measurement traceability to standards maintained at the U.S.
National...

Nonparametric identification of linear systems is investigated in
this paper. Nonparametric identification is the estimation of the time
record of the impulse response of the system. It is a deconvolution
problem, i.e., inverse operation of the convolution of the impulse
response and the excitation signal. The problem is ill posed, i.e.,
deconvolut...

The FPOCS for traceable calibration of 20-GHz oscilloscope sampling channels using pulse signals, is described. It is PC-based and includes precision step generation hardware, novel algorithms for parameter estimation, timebase correction, reference step deconvolution, and uncertainty analyses. Preliminary tests show good agreement between the FPOC...

Time domain measurements are distorted by the measurement system
if the bandwidth of the system is not sufficiently high compared to that
of the signal to be measured. If the distortion is known the measured
signal can be compensated (inverse filtering or deconvolution). Since
the measurement is always corrupted by noise the reconstruction is an
es...

Deconvolution of transient signals is investigated in this paper.
Deconvolution is the inverse operation of convolution, i.e. restoration
of a distortion caused by a linear system. The aim can be either to
reconstruct the signal to be measured or to estimate the impulse
response of the system. The problem is ill-posed, i.e. deconvolution
amplifies...

This paper investigates inverse filtering of transient signals. The problem is ill-conditioned, which means that a small uncertainty in the measurement causes large deviations in the reconstructed signal. This amplified noise has to be suppressed at the price of bias in the estimation. The most difficult task is to find the optimal degree of noise...

Although very promising results have been achieved by oth-ers in producing reference disparity maps for real-world indoor scenes with uncalibrated structured light and engineered scenes, few papers emphasise that 3D-synthesis remains indispensable in generating ground-truth data up to numerical precision, and also for long-range stereo, to discrimi...

This paper presents the design considerations of a modular hardware-software platform devoted to serve education, research and development in the fields of ambient intelligence, ubiquitous/pervasive computing, and networked embedded systems. The primary goal of this new platform is to support Embed-ded Information Systems Engineering education at t...

Az OTKA támogatás fő célja a doktori értekezésekig eljuttatni az igéretes doktoranduszokat. A pojekt sikeres volt. Publikációs listák: http://www.mycite.omikk.bme.hu/search/index.php?phase=-1 Egyszerű keresés Név Honlapok nem publikált munkaanyagokkal elérhetők a publikációs listákból. Márkus János megvédte Bank Balázs megvédte Valyon József megvéd...