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Adaptive Filters for Processing of Biological Signals
Strouhal, Martin ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
This thesis is engaged in adaptive filtering. There are described common structure of adaptive systems and possible aplications. Most usual adaptive algoritms LMS and RLS are analysed. This project aims to realization of simple adaptive system and narrow bandstop. I researched qualities of the filters and the optimal setting. At the end both systems were tested using noisy ECG signal with varriable frequency of noise
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Equalization of the transmission channel
Žlebek, Lukáš ; Šilhavý, Pavel (referee) ; Číž, Radim (advisor)
This thesis describes a design of a simulation of transmission of digital information via communication system and equalization of communication function. The layout of communication channel with multiway transmission is described in following part. Next part is about hardware modulator which generate modulated signal which is transmitted via communication channel and after is sampled by A/D convertion card to computer, where is equalizated and demodulated in Simulink. In the last part of this thesis, there is proposal of the laboratory task and its sample solution.
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Equalization of the transmission channel
Žlebek, Lukáš ; Šilhavý, Pavel (referee) ; Číž, Radim (advisor)
This thesis describes a design of a simulation of transmission of digital information via communication system and equalization of communication function. The layout of communication channel with multiway transmission is described in following part. Next part is about hardware modulator which generate modulated signal which is transmitted via communication channel and after is sampled by A/D convertion card to computer, where is equalizated and demodulated in Simulink. In the last part of this thesis, there is proposal of the laboratory task and its sample solution.
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Performance based adaptation of Scala programs
Kubát, Petr ; Bureš, Tomáš (advisor) ; Horký, Vojtěch (referee)
Dynamic adaptivity of a computer system is its ability to modify the behavior according to the environment in which it is executed. It allows the system to achieve better performance, but usually requires specialized architecture and brings more complexity. The thesis presents an analysis and design of a framework that allows simple and fluent performance-based adaptive development at the level of functions and methods. It closely examines the API requirements and possibilities of integrating such a framework into the Scala programming language using its advanced syntactical constructs. On theoretical level, it deals with the problem of selecting the most appropriate function to execute with given input based on measurements of previous executions. In the provided framework implementation, the main stress is laid on modularity and extensibility, as many possible future extensions are outlined. The solution is evaluated on a variety of development scenarios, ranging from input adaptation of algorithms to environment adaptations of complex distributed computations in Apache Spark.
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Reification of the DEECo component model and its application in virtual-world simulations
Forch, Jan ; Bureš, Tomáš (advisor) ; Gemrot, Jakub (referee)
In the domain of dynamically evolving distributed systems composed of autonomous and (self-) adaptive components, the task of systematically managing the design complexity of their communication and composition is a pressing issue. This stems from the dynamic nature of such systems, where components and their bindings may appear and disappear without anticipation. As one way of addressing the challenge, [15] proposes a new component model (called DEECo), which features separation of concerns via a mechanism of dynamic implicit bindings with implicit communication. This leads to introduction of autonomous components and their dynamic interaction groups (called ensembles). The goal of the thesis is to reify the DEECo concepts and paradigms in a Java-based implementation connected to a simulation of a virtual world. As such, the thesis should provide a platform for experimentation with DEECo-based applications.
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Adaptive Filters for Processing of Biological Signals
Strouhal, Martin ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
This thesis is engaged in adaptive filtering. There are described common structure of adaptive systems and possible aplications. Most usual adaptive algoritms LMS and RLS are analysed. This project aims to realization of simple adaptive system and narrow bandstop. I researched qualities of the filters and the optimal setting. At the end both systems were tested using noisy ECG signal with varriable frequency of noise
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A Systems Approach to Health Care Financing
Jankůj, Miroslav ; Střítecký, Rudolf (advisor) ; Kandilaki, Daniela (referee)
This diploma thesis deals with the Czech healthcare system. Healthcare is generally reffered to as system but not always healthcare problems are solved systematically. Therefore systems theory, theory of complex adaptive systems and other notions, that are often used in healthcare, were described in this thesis. The objective of this thesis was analysis of impacts of patient's financial participation (20 %, 25 % and 30 %) on health care to their financial situation in the complex adaptive healthcare system. In this thesis four indicators were used -- poverty line, household subsistence spending, impoverished households, catastrophic health expenditure. The World Health Organization defined this indicators for World Health Survey in different countries. The indicators were applied to a sample of Czech households and some impacts of increased participation were calculated. It results from this calculation that the increased participation of households has virtually only small impacts to their financial situation. By the indicators of poverty just few households would be on the poverty line. Nevertheless, this results aren't generalized to the whole Czech population. With this indicators we should further work and develop them in order that they could serve as tool to evaluation of state's intervetion into healthcare system.
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