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Channel Merging Techniques for improving Dynamic Range of ± 10 V Signal Chain Channel
Dušek, Samuel ; Prokop, Roman (referee) ; Kledrowetz, Vilém (advisor)
Cílem této diplomové práce je změřit a vyhodnotit parametry techniky slučování kanálů, která je momentálně implementována v součástce AD7606C firmy Analog Devices. Poté, na základě výsledků z měření, navrhnout a odsimulovat několik možností, pomocí kterých by tato technika mohla dosahovat vyšších hodnot dynamického rozsahu a celkového harmonického zkreslení. V průběhů práce bylo zjištěno, že pomocí zvýšení zesílení kanálu s nižším rozsahem společně se snížením mezní frekvence celého signálového řetězce může tato technika dosahovat až 118.6 dB dynamického rozsahu, což je o 3.6 dB více, než bylo změřeno na AD7606C. Dále také bylo zjištěno, že pomocí jednoduchého algoritmu implementovaného v logickém bloku, je možné dosáhnout imunity vůči hodnotě externího rezistoru, který zákazníci používají jako součást anti-aliasingového filtru.
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Measurement of blood oxygen saturation
Schořová, Martina ; Janoušek, Oto (referee) ; Chmelař, Milan (advisor)
In the first part, this bachelor thesis deal about problems, which are connected together with measurement of blood saturation by oxigen. In this thesis is introduced description of various methods, but as the main problem is a pulse oximetry. In the second part is examination of different conditions which can create error in oxigen blood saturation measurement. These conditions has been tested to volunteers.
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The Introduction and Application of General Regression Model
Hrabec, Pavel ; Štarha, Pavel (referee) ; Bednář, Josef (advisor)
This thesis sumarizes in detail general linear regression model, including testing statistics for coefficients, submodels, predictions and mostly tests of outliers and large leverage points. It describes how to include categorial variables into regression model. This model was applied to describe saturation of photographs of bread, where input variables were, type of flour, type of addition and concntration of flour. After identification of outliers it was possible to create mathematical model with high coefficient of determination, which will be usefull for experts in food industry for preliminar identification of possible composition of bread.
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Modern methods of reconstruction of saturated audio signals
Mikulášková, Aneta ; Mokrý, Ondřej (referee) ; Rajmic, Pavel (advisor)
This thesis presents a variety of soft clipping simulations and their respective de-clipping functions. A restoration method uses a Douglas-Rachford algorithm (already verified for hard de-clip). The algorithm is extended by inverse functions and simultaneous de-quantization is proposed. The simulations are applied to artificial signals, and audio samples, and the proposal is tested in the computing environment MATLAB. A restored signal is later evaluated by objective and subjective methods.
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The frost susceptibility of soils and materials for subgrade of pavements
Puda, Adam ; Pácha, Petr (referee) ; Stehlík, Dušan (advisor)
The bachelor thesis deals with the theoretical part of the deformation caused by frost action, but primarily frost heave, their gradual development and factors affecting their final formation. Furthermore, different ways of measuring the frost susceptibility in the Czech Republic and their comparison. Introduction to the different methods of measuring frost susceptibility in selected countries within the European Union. The practical part is focused on the process of frost heave samples with and without thermal insulation material.
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Testing of Blood Oxygenation for Pilots
Kvasnička, Pavel ; Smolík, Luděk (referee) ; Drahanský, Martin (advisor)
This work investigates the measurement of blood oxygenation for pilots, which is based on noninvasively method of pulse oxymetry. This method is based on the selective light absorption in the spectrum of infrared and red light by oxyhemoglobin and reduced hemoglobin. For measurement is crucial a pulse component of arterial blood, in which is measured concentration of hemoglobin to total amount of hemoglobin.
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Recognition of Weather in an Outdoor Stationary Camera View
Jenčo, Michal ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis deals with classification of weather from stationary outdoor camera images with a landscape view. It classifies fog, clear, partly cloudy and overcast weather in particular. The problem was solved by computing five image flags and using machine learning. Hit rate of 95% was achieved with only small variances between weather types. The main finding of this work is that it is possible to successfully differentiate between the selected weather types with the chosen set of simple image flags. The implementation of this system enables plotting a graph of weather progression during a chosen day.
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