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Game Environment from Music
Vaněk, Jiří ; Fapšo, Michal (referee) ; Hradiš, Michal (advisor)
The topic of this work is game environment generation from music. The main subject of this work is the music analysis. I am dealing with the problem of finding relevant information in music, which would be useful for game generating. The design of the system for music analysis, presented in this work, is based on the theory of signal processing and statistical classification. The proposed analysis of music is focused mainly on a beat detection, musical genre recognition and song segmentation. The second part of the work deals with the design of a game, which generates its environment from the data obtained in the music analysis. I have implemented the complete system for the music analysis and a prototype of the game, in which it is possible to evaluate the results from the analysis. The implementation and the achieved results are described in the conclusion of this work.
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Sensorless velocity control and positions of d.c. low-power brush motor
Svoboda, Jan ; Hanák, Pavel (referee) ; Prajzner, Václav (advisor)
This bachelor's thesis focuses on sensorless control of low load brushed DC motor that is used in the actuators made by the Honeywell company. The first part provides an introduction into motor control and common used methods of speed and position sensing of brushed DC motor. Sensorless method of sensing described in this work is the detection of commutation pulses from the signal of motor current. These pulses are caused by brushes leaping over the commutator bars. Correct evaluation of commutation pulses can provide the information about velocity and position of the motor. This relatively new method of detection of commutation pulses is investigated and arising problems are demonstrated on measured samples of signal. Suitable methods of signal processing are then proposed. Infallibility of these signal processing methods is then proved on the set of signals measured under circumstances of supply voltage and abrasion. Then it is decided which signal processing method that sensorless control system can use is the best.
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Processing of electromagnetic and acoustic emission signals during mechanical stressing of solids
Šopík, Martin ; Holcman, Vladimír (referee) ; Koktavý, Pavel (advisor)
Electromagnetic emission and acoustic emission are physical phenomena evoked in non-conductive material by the sudden release of energy that generate rising cracks in material structure. The significant is a fact that these emission signals are detected already in stadium of materials loading whereof can be used e.g. at non-destructive diagnostics of building materials and constructions. In the appropriate manner processing of the emitted signals then make possible to obtain valuable informations for study physical properties of cracks. Master’s thesis describes methods designed for important signal data ascertainment in time, frequency even time-frequency domain. It can be e.g. start time, maximum value, dominant frequency in spectrum etc. All these methods are implemented into main program. Next load is formularization of source signal transformation which is given by used measuring circuit. Analytical method is chosen for solving. It means finding out reserve electrical circuit with constant element values. Resultant circuit approaches original circuit with less square error than existing way. The signal transformation is described by differential equation of second order with constant coefficients. MATLAB software is used for all computations and projections.
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Speech Analysis for Processing of Musical Signals
Mészáros, Tomáš ; Malenovský, Vladimír (referee) ; Černocký, Jan (advisor)
Hlavním cílem této práce je obohatit hudební signály charakteristikami lidské řeči. Práce zahrnuje tvorbu audioefektu inspirovaného efektem talk-box: analýzu hlasového ústrojí vhodným algoritmem jako je lineární predikce, a aplikaci odhadnutého filtru na hudební audio-signál. Důraz je kladen na dokonalou kvalitu výstupu, malou latenci a nízkou výpočetní náročnost pro použití v reálném čase. Výstupem práce je softwarový plugin využitelný v profesionálních aplikacích pro úpravu audia a při využití vhodné hardwarové platformy také pro živé hraní. Plugin emuluje reálné zařízení typu talk-box a poskytuje podobnou kvalitu výstupu s unikátním zvukem.
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Radar-Based Speed Measurement of Sport Projectiles
Bezděk, David ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This bachelor's thesis deals with a proposal and implementation of application, that extracts speed information of sport projectiles from radar data. Firstly, there is description of radar, Doppler's effect and especially continuous-wave radar. Then the bachelor’s thesis continues with signal processing issues, after which speed can be calculated.In next part there is a describtion of collecting real data and their evaluation. In the last part there is a summary of the thesis, eventual use of the application and it's possible extensions.
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Image data processing
Hamada, Adam ; Říha, Kamil (referee) ; Kubásek, Radek (advisor)
The main aim of this bachelor‘s thesis was the design of measure system and position detection method of one-shot plot in two axis system in cooperating with PROTOTYPA company. Also includes principle describe method which scanning fast moving object by high-speed CCD sensors. Further this thesis describing two algorithms for real-time process CCD video signal and in the end are selected components for this algorithms.
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Mobile Application for Learning to Play Drums
Novotný, Jan ; Zemčík, Pavel (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis aims to design and create a mobile application for teaching percussion playing and rhythmic reading training. The application contains several lessons with exercises that are displayed in the form of music notation. It is made possible to play and practice individual exercises accompanied by a metronome. Furthermore, it offers an analysis of the play on the instrument and provides feedback on the quality of playing. The application is developed on the Xamarin platform for use on Android and iOS operating systems. The result of this work is an application that will serve drummers to practice and provide an evaluation of the accuracy of the played exercise and thus will help to improve their playing skills.
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Deep learning based sound records analysis
Kramář, Denis ; Říha, Kamil (referee) ; Přinosil, Jiří (advisor)
This master thesis deals with the problem of audio-classification of the chainsaw logging sound in natural environment using mainly convolutional neural networks. First, a theory of grafical representation of audio signal is discussed. Following part is devoted to the machine learning area. In third chapter, some of present works dealing with this problematics are given. Within the practical part, used dataset and tested neural networks are presented. Final resultes are compared by achieved accuracy and by ROC curves. The robustness of the presented solutions was tested by proposed detection program and evaluated using objective criteria.
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EEG Analysis During Anaesthesia
Hodulíková, Tereza ; Kolářová, Jana (referee) ; Sadovský, Petr (advisor)
This master's thesis deals with the method of functional examination of brain electric activity. In the first part is description of central nervous system, method of electroencephalography and possible connections. Furthermor the project involves characteristic of EEG signal and its artifacts. It also includes signal processing and list of symptoms, which will be used for an analysis of the EEG during anesthesia. The second part of thesis involves development of application, which allow viewing and proccesing of EEG signal. In conclusion of thesis is carried out unequal segmentation and statistical processing.
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