Search Results - "Šaliga, Ján"

ECG Sparsity Evaluation on a Multiwavelet Basis by Kromka, Jozef, Jusková, Antónia, Šaliga, Ján

“…In this paper, an evaluation of the multiwavelet basis’ capability to represent the ECG signal sparsely was performed. The paper includes the mathematical…”
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Analog-to-Information Conversion with Random Interval Integration by Šaliga, Ján, Kováč, Ondrej, Andráš, Imrich

“…A novel method of analog-to-information conversion—the random interval integration—is proposed and studied in this paper. This method is intended primarily for…”
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Design of AD Converters in 0.35 µm SiGe BiCMOS Technology for Ultra-Wideband M-Sequence Radar Sensors by Sokol, Miroslav, Galajda, Pavol, Saliga, Jan, Jurik, Patrik

“…The article presents the analysis, design, and low-cost implementation of application-specific AD converters for M-sequence-based UWB applications to minimize…”
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Design of Evaluation Classification Algorithm for Identifying Conveyor Belt Mistracking in a Continuous Transport System's Digital Twin by Fedorko, Gabriel, Molnar, Vieroslav, Stehlikova, Beata, Michalik, Peter, Saliga, Jan

“…A prerequisite for continuous transport systems' operation is their digital transformation, which interprets operating conditions based on the availability of…”
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Multiwavelet-based ECG compressed sensing by Kováč, Ondrej, Kromka, Jozef, Šaliga, Ján, Jusková, Antónia

“…•Compressed sensing based on DMWT combined with sample difference thresholding ensures that the technique is completely patient agnostic, does not require any…”
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ECG compressed sensing method with high compression ratio and dynamic model reconstruction by Šaliga, Ján, Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Kováč, Ondrej, Kromka, Jozef

“…•Compress sensing of electrocardiographic signal.•Frames with offset and amplitude normalization and requantization.•High compress ratio.•Reconstruction based…”
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A time domain reconstruction method of randomly sampled frequency sparse signal by Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Šaliga, Ján

“…In this paper stochastic sampling as a method of frequency sparse signal acquisition is presented. Basic principle of compressed sensing is reviewed, with…”
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Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis by Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Šaliga, Ján

“…This paper presents a way of acquiring a sparse signal by taking only a limited number of samples; sampling and compression are performed in one step by the…”
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Optimization Paradigm in the Signal Recovery after Compressive Sensing by Michaeli, Linus, Šaliga, Ján, Dolinský, Pavol, Andráš, Imrich

“…Compressive sensing is a processing approach aiming to reduce the data stream from the observed object with the inherent sparsity using the optimal signal…”
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An ECG signal model based on a parametric description of the characteristic waves by Dolinsky, Pavol, Andras, Imrich, Michaeli, Linus, Saliga, Jan

“…This article introduces a new electrocardiogram (ECG) signal model based on geometric signal properties. Instead of the artificial functions used in common ECG…”
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Error Models of the Analog to Digital Converters by Michaeli, Linus, Šaliga, Ján

“…Error models of the Analog to Digital Converters describe metrological properties of the signal conversion from analog to digital domain in a concise form…”
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Parameters of band pass ΣΔ-ADC and the comparison with the standard ones by Michaeli, Linus, Šaliga, Ján, Kollár, Martin

“…The band pass sigma delta analogue-to-digital converters (BP ΣΔ-ADC) represent a subgroup from the more general group of the unconventional ADCs. The BP…”
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Measurement of distorted exponential signal components using maximum likelihood estimation by Michaeli, Linus, Šaliga, Ján, Liptak, Jozef, Godla, Marek, Kollár, István

“…•The maximum likelihood method for the measurement of signal components is presented.•Prony’s method serves for initiating of the differential evolution…”
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A comparison of least squares and maximum likelihood methods using sine fitting in ADC testing by Šaliga, Ján, Kollár, István, Michaeli, Linus, Buša, Ján, Lipták, Jozef, Virosztek, Tamás

“…•Least square (LS) and maximum likelihood (ML) sinewave fit ADC test were compared.•We evaluated error of SINAD of ADC under the test calculated from LS and ML…”
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Dynamic Dac Testing by Registration of the Input Code Wordin Equality When the Dac Output Matches a Reference Signal by Sekerák, Martin, Michaeli, Linus, Šaliga, Ján, Godla, Marek

“…The characterization of high resolution Digital to Analog Converter (DAC) involves new problems caused by their high performance. This paper presents a new…”
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Full information from measured ADC test data using maximum likelihood estimation by Balogh, László, Kollár, István, Michaeli, Linus, Šaliga, Ján, Lipták, Jozef

“…► Maximum likelihood method for signal parameter estimation. ► Non-linear ADC characteristic was handled by using INL errors. ► Usage of sine waves and…”
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DNL ADC testing by the exponential shaped voltage by Holcer, R., Michaeli, L., Saliga, J.

“…Testing of ADC differential nonlinearity by the histogram method requires a signal generator with extremely low distortion and high stability. In this paper,…”
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Combined spectral and histogram analysis for fast ADC testing by Serra, A.C., da Silva, M.F., Ramos, P.M., Martins, R.C., Michaeli, L., Saliga, J.

“…The integral nonlinearity (INL) of analog-to-digital converters (ADCs) can be described by a behavioral error model expressed as one-dimensional image in the…”
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Unified ADC nonlinearity error model for SAR ADC by Michaeli, Linus, Michalko, Peter, Šaliga, Ján

“…The paper introduces a new ADC static nonlinearity model focusing on SAR ADC which is labelled the unified ADC nonlinearity error model. The model can also…”
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An overview of different signal sources for histogram based testing of ADCs by Corrado, Marco, Rapuano, Sergio, Šaliga, Jan

“…In this paper starting from the standard histogram test an overview of alternative methods for histogram based testing of ADCs is drawn. The international and…”
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