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Processing of electroencephalograms
Polanský, Štěpán ; Janoušek, Oto (referee) ; Kolářová, Jana (advisor)
This work describes basics of electroencaphalography, measuring electroencaphalography signals, their processing and evaluation. There is discussed method of topography mapping of brain activity called brainmapping. The practical part contains description of design aplication in Matlab.
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Smart distance measurement module for football robot
Hrbáček, Jan ; Honzík, Petr (referee) ; Havránek, Zdeněk (advisor)
Diplomová práce se zabývá vývojem dálkoměrného modulu určeného pro rozšíření senzorické výbavy fotbalového robotu kategorie MiroSot. Tento modul na vstupu přijímá data ze senzorické jednotky vyvinuté na Ústavu automatizace a měřicí techniky a z těchto dat extrahuje polohu míčku. Je srovnáno využití neuronové sítě a zjednodušené Houghovy transformace pro získání polohy těžiště míčku. V práci je popsána pomocná implementace funkcionality v prostředích MATLAB a C#.NET i hlavní implementace pro signálový mikrokontrolér Freescale MC56F8013. Výsledný modul splňuje nároky zadání a je plně funkční.
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Design and implementation of signal processing library using Android
Janovský, Martin ; Hudec, Antonín (referee) ; Trzos, Michal (advisor)
The diploma thesis solves the problem of design and implementation of library for digital signal processing on Android platform. It describes problems with development software on this platform. There is also a debate about portion of Android on market. It describes technologies and ways, that were used for developing an application. It also explains the efficient programming techniques, in some cases, offering alternative solutions and ways. Effectiveness examines from the perspective of processing power and memory consumption. Continues through analysis Android platform architecture, and some features of its system to the description of some of its parts. Gets up to the description of work with the audio data formats, or to work with files and various collections of data. Then description continues with functions and the application itself. The actual library is controlled through the user interface and some other functions. User select parameters of each signal to be processed. The signal can be generated or the recorded sound signal. After selecting the parameters of each filter, the user can play the output signal and observe the change. In other part different instruments are compared and discussed some improvements, which accelerate and improve the entire application. The conclusion summarizes the results and benefits of the entire diploma thesis.
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Signal processing in ZigBee system
Miloš, Jiří ; Bradáč, Zdeněk (referee) ; Hanus, Stanislav (advisor)
Master's thesis The Signal Processing in ZigBee System is focused on properties of Physical Layer of ZigBee (standard IEEE 802.15.4 - 2003). The work consists of three parts. The first part contains common view on using and properties of ZigBee. The next part focuses on the Medium Access Control Layer and in detail on the Physical Layer. There described signal processing in the Physical Layer in individual radio bands. The last part of the project contains the process of modeling in the MATLAB for both models of system ZigBee (bands 868/915 MHz and 2450 MHz). The last part of thesis deals with the simulations of BER depending on Carrier-to-Noise Ratio. Also examined the coexistence of systems operating in the same or a nearby frequency band. Based on the results of simulations there are given recommendations for the use of the ZigBee system in minimizing BER.
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Signal processing by hidden Markov models
Hampl, Jindřich ; Pfeifer, Václav (referee) ; Sigmund, Milan (advisor)
One of the most common methods for isolated words recognition is based on Hidden Markov models. Speech signal can be considered as a sequence of successive parts of the signal with specific statistical parameters. Hidden Markov model corresponds to the statistical model with the final number of states, which may be useful for signals such as speech. HTK module is a software tools, which is mostly used to work with hidden Markov models.
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OCR of image based web form protection
Peluch, Tibor ; Hrabec, Jakub (referee) ; Honzík, Petr (advisor)
The thesis deals with programming of application in operating system Windows. Main features of application system Microsoft Foundation Class are resumed in brief here. In following part there is idea about implementing an application with graphic user interface that makes, using schema, work with data, possible. The third part deals with implementation of blocks into dynamic linked libraries and there is outlined a possibility to use data of this programme as an external module and a possibility of realtime data processing e.g. picture and sound. The verification of a good functionality of this application is in the last part. The application is really tested in diagnosing of devaluated texts for protecting web forms www.centrum.cz. There were designed blocks making picture read possible just from internet, preprocessing, segmentation, feature extraction, evaluationg in neural network and blocks that make possible to read and save processed data into the disc.
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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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Wavelet transform properties
Koula, Ivan
Multidimensional time-scale representations of signals are images of changes in time of short time sub band energy and thus play an important role when they are analyzed and processed. The properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the scale domain but also in the computation complexity during the realization.
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