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Development of algorithms state estimation of experimental vehicle
Lamberský, Vojtěch ; Krejsa, Jiří (referee) ; Grepl, Robert (advisor)
This thesis deals with the filter algorithm design, implementing mathematical model to improve algorithm performance. Designed algorithms are implemented in a control unit of the experimental vehicle (filters signal used in the closed-loop controller). The improvement of the position estimation using Kalman Filter is demonstrated on the experimental vehicle. In the next part the design process of algorithm developing for dsPIC microcontroller using Matlab is described.
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Digital signal processing in real time
Zamazal, Zdeněk ; Mačák, Jaromír (referee) ; Rášo, Ondřej (advisor)
This work deals with digital signal processing in the field of adaptive filtering. Fundamental basics of adaptive filtering are described and primary aim is to create executable laboratory examples, using adaptive filtering, in LabView programming language. These laboratory examples are intended to be used by students fo studying and during laboratory lessons. Objective is to connect the examples with external devices, such as microphone. A microphone is used as an user's speech input acquiring interface. In the thesis is depicted Wiener's filter and problem of adaptive filtering is discussed. Contemporary adaptive algorithms are described and their applications as well. Most mentioned is the LMS algorithm and it's forms. Laboratory examples use following concepts: Adaptive Echo Cancellation, Active Noise Control and System Identification. Each of these examples is solely executable (need for LabView or Run-time engine), consisting also of theory with diagrams. Examples therefore are usable even without manual.
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Person Identification and Verification Using EEG
Žitný, Roland ; Orság, Filip (referee) ; Tinka, Jan (advisor)
The aim of this work was to create a brain-computer interface that reliably identifies and verifies a person using his electroencephalographic signals. Creating a user profile and verifying it is based on processing reactions to his own face, and the face of strangers or acquaintances. Algorithms such as bandpass and noise removal using wavelet transformation are user to filter signals. The classification of reactions is performed using a convolutional neural network or linear discriminant analysis. The average accuracy of the linear discriminant analysis is 66.2 % and of the convolutional neural network is 58.7 %. The maximum achieved accuracy was with linear discriminant analysis and at 93.7 %.
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EOG signal processing using Arduino
Typovský, Viktor ; Králík, Martin (referee) ; Harabiš, Vratislav (advisor)
This bachelors thesis deals with scanning and processing EOG signal. Processing means displaying EOG signal detection and eye movement. The theoretical part is first described the formation and properties of EOG signal. Furthermore, they describe factors affecting EOG. The practical part is then given proposal hardware solutions to capture this signal and processing algorithm. Scanning EOG signal is realized by means of the instrumentation amplifier. Its filtration is used lowpass Sallen-Key. It was decided to maintain during scanning DC component of the signal. But that was a problem regarding the electrode potential. This problem would be resolved by the proposed compensation circuit. Processing the resultant signal is then performed in an environment Processing using Arduino platform. EOG imaging algorithm and motion detection functions and is given.
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Measurement and analysis of ECG signal
Černohous, Lukáš ; Vítek, Martin (referee) ; Harabiš, Vratislav (advisor)
In the first part, this thesis focuses on theoretical knowledge about ECG signal generation, its measuring and filtration. Furthermore it examines the R-wave as the most significant portion of the QRS Complex, describes the LabVIEW environment and the Vernier LabPro interface. The second part of the thesis then shows one of the possible ways of the R-wave detection and the subsequent heart rate measurement, which is then implemented by a program designed in LabVIEW environment. In the conclusion, the results of the thesis are evaluated.
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Pulse Detection from Video
Matuszek, Martin ; Hradiš, Michal (referee) ; Szentandrási, István (advisor)
The aim of the Master's thesis was to study contemporary methods for human pulse detection from standard video and suggest a method, which can be used to detect the pulse. Approaches of detecting miniature changes between frames of a video are presented. Position changes of the feature points or changes in colour of some part of an image are detected. It capitalize on the fact that those changes are caused by the pulse of blood. The method for color changes magnification is selected as a base for pulse detector. Face regions of interest are analyzed to detect frequency of changes of intensity between frames. 1D signal is gained and its analysis leads to heart rate. Approach to create heat map of frequency changes is also presented.
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Construction and Control of Audio Amplifier
Dohnal, Ondřej ; Růžička, Richard (referee) ; Bidlo, Michal (advisor)
Audio amplifiers are parts and parcels of electronic devices. Their goal is to convert weak signals into stronger signals. This thesis deals with the design of an amplifier using vacuum tubes, which parameters can be adjusted remotely for example using a mobile phone. The thesis first describes the amplifiers and their specification. Furthermore, the issue of their design and the possibility of remote control is described in the thesis. As part of the work, an amplifier, a signal processor enabling its control and a communication interface used for control are designed and implemented.
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Person Identification and Verification Using EEG
Žitný, Roland ; Orság, Filip (referee) ; Tinka, Jan (advisor)
The aim of this work was to create a brain-computer interface that reliably identifies and verifies a person using his electroencephalographic signals. Creating a user profile and verifying it is based on processing reactions to his own face, and the face of strangers or acquaintances. Algorithms such as bandpass and noise removal using wavelet transformation are user to filter signals. The classification of reactions is performed using a convolutional neural network or linear discriminant analysis. The average accuracy of the linear discriminant analysis is 66.2 % and of the convolutional neural network is 58.7 %. The maximum achieved accuracy was with linear discriminant analysis and at 93.7 %.
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EOG signal processing using Arduino
Typovský, Viktor ; Králík, Martin (referee) ; Harabiš, Vratislav (advisor)
This bachelors thesis deals with scanning and processing EOG signal. Processing means displaying EOG signal detection and eye movement. The theoretical part is first described the formation and properties of EOG signal. Furthermore, they describe factors affecting EOG. The practical part is then given proposal hardware solutions to capture this signal and processing algorithm. Scanning EOG signal is realized by means of the instrumentation amplifier. Its filtration is used lowpass Sallen-Key. It was decided to maintain during scanning DC component of the signal. But that was a problem regarding the electrode potential. This problem would be resolved by the proposed compensation circuit. Processing the resultant signal is then performed in an environment Processing using Arduino platform. EOG imaging algorithm and motion detection functions and is given.
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Measurement and analysis of ECG signal
Černohous, Lukáš ; Vítek, Martin (referee) ; Harabiš, Vratislav (advisor)
In the first part, this thesis focuses on theoretical knowledge about ECG signal generation, its measuring and filtration. Furthermore it examines the R-wave as the most significant portion of the QRS Complex, describes the LabVIEW environment and the Vernier LabPro interface. The second part of the thesis then shows one of the possible ways of the R-wave detection and the subsequent heart rate measurement, which is then implemented by a program designed in LabVIEW environment. In the conclusion, the results of the thesis are evaluated.
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