Frequency Domain Identification of Data Loss Models

Sujbert, László; Orosz, György

doi:10.21014/acta_imeko.v6i4.476

Cited by 4 publications

(2 citation statements)

References 11 publications

(34 reference statements)

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“…The spreading of the idea of Internet of Things has amplified the problem, which motivated new research. The actual results are about FFT-based spectrum estimation in the case of data loss [139,140]. Fig.…”

Section: Digital Signal Processingmentioning

confidence: 99%

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

Charaf

Harsányi

Poppe

et al. 2017

Period. Polytech. Elec. Eng. Comp. Sci.

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Preface Since being established in 1949, the Faculty of Electrical Engineering and Informatics (VIK) BME has played a flagship role in the development of electronics, IT and computer science in Hungary.We László Jakab (dean, BME VIK) János Levendovszky (vice-dean in charge of scientific affairs, BME VIK) are proud of combining engineering applications with sound scientific results, which is the assurance of high-level industrial collaboration leading to novel results and innovation. The various collaborations with our industrial partners has made it clear that the industry expects methods and results which make their industrial processes more effective and increase productivity and quality. Thus, participation in these collaborations give a competitive edge and ensure the continuous development of VIK. These factors have positioned our Department of Automation and Applied InformaticsDepartment of Automation and Applied Informatics (AUT) is one of the largest and dynamically developing departments at BME with diverse scope competences such as control theory, embedded systems, software modelling, applied software development, Internet of Things, power electronics, mechatronics, and many others. The department's main activities are education, research and development. Training versatile electrical and software engineers with solid practical knowledge is our top priority. Our profile also includes developing high quality software and hardware solutions for industry partners. All of our activities are backed by strong research background.In 2016, the department organized and hosted a number of domestic and international events. In cooperation with the industry, AUT has organized the IoT4U conference. It was dedicated to Internet of Things, cloud and data management as well as the integration of IoT into various formats. RobonAUT, the yearly domestic amateur robotics contest was organized by the department in February 2016. The yearly contest is open to teams of students, organized either in student projects within the department or independent research teams.The next sections summarize the key research results of the department in year 2016. Software Development Methods and Mobile PlatformsThe diversity of mobile platforms necessitates the development of the same mobile application for all major mobile platforms, what requires considerable development effort. Mobile application developers are multiplatform developers, but they still prioritize the platforms, therefore, not all platforms are equally important for them. Appropriate methods, processes and tools are required to support the development in order to achieve better productivity.The research on educational mobile applications that adapt to the mental state of the user required a method for estimating the difficulty of tasks found in the serious games. There are generated or random assignments where the effort required from the user is not known or cannot be estimated in advance.61 (2) IoT and Smart CityThe Internet of Things (IoT) is transforming the surroun...

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Section: Digital Signal Processingmentioning

confidence: 99%

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

Charaf

Harsányi

Poppe

et al. 2017

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

show abstract

“…Mathematical modelling allows for a description -by mathematical tools -of the properties of complex mechanical, electric, and any systems in which the final behaviours result from the physical relationships of various origins acting in a complex manner. These include behaviour analysis and the prediction of electronic [1], mechanical [2]- [4], biological [5] system components, thermal systems [6] [7], data transmission channels [8], and more. A mathematical model gives concise information about basic processes, without the effects of low significance.…”

Section: Introductionmentioning

confidence: 99%

An ECG signal model based on a parametric description of the characteristic waves

et al. 2020

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This article introduces a new electrocardiogram (ECG) signal model based on geometric signal properties. Instead of the artificial functions used in common ECG models, the proposed model is based on the modelling of real ECG signals divided into time segments. Each segment has been modelled using simple geometrical forms. The final ECG signal model is represented by the sequence of parameters of the base functions. Parameter variations allow for the generation of different waveforms for each subsequent heartbeat without mixing up the PQRST waves order. Two basic models utilize slightly modified elementary functions, which are computationally simple. A combination of both models allows for the modelling of irregularities in the consecutive heartbeats of the specific ECG waveforms. Respiratory, noise, and powerline interference can be added in order to make the generated ECG signal more realistic. The model parameters are estimated by differential evolution optimization and a comparison between the modelled ECG and the acquired signal. The proposed models are tested by the database included in the LabVIEW Biomedical Toolkit and ECG records in the MIT-BIH arrhythmia database.

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Time and Frequency Domain Description of Gilbert-Elliott Data Loss Models

Palko

Sujbert

2019

2019 20th International Carpathian Control Conference (ICCC)

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Frequency Domain Identification of Data Loss Models

Cited by 4 publications

References 11 publications

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

An ECG signal model based on a parametric description of the characteristic waves

Time and Frequency Domain Description of Gilbert-Elliott Data Loss Models

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