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AI-based classification of RF signals
Turák, Samuel ; Ulovec, Karel (oponent) ; Polák, Ladislav (vedoucí práce)
This thesis focuses on Deep learning-based radio frequency (RF) signal classification. For this purpose, three neural networks are selected and introduced: Convolutional Neural Network (CNN), Gated Recurrent Unit Network (GRU) and Convolutional Gated Deep Neural Network (CGDNN). All are trained and evaluated on multiple datasets, influenced by different RF impairments, for wireless standard classification. The waveforms in these datasets have been created by the Wireless Waveform Generator app in MATLAB. One publicly available modulation classification dataset is also being tested on the models. The performed approaches of data preprocessing, model training and model evaluation are implemented in the programming environment Python, utilizing libraries such as Scikit-learn and Keras. The obtained results are evaluated and discussed.
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Pixelated electrically small antenna
Turák, Samuel ; Kadlec, Petr (oponent) ; Zechmeister, Jaroslav (vedoucí práce)
This bachelor thesis deals with the problematic of programming and implementation of binary evolutionary algorithms and their practical application for design of pixelated electrically small antenna for ISM band 868 MHz. Two binary evolutionary algorithms are introduced and implemented, both created in the programming environment Matlab. The basic antenna design and its optimization are performed by the program CST controlled by an in-house Matlab code. In the thesis, an empiric research of miniaturization and sensitivity of the electrically small antenna is conducted.This bachelor thesis deals with the problematic of programming and implementation of binary evolutionary algorithms and their practical application for design of pixelated electrically small antenna for ISM band 868 MHz. Two binary evolutionary algorithms are introduced and implemented, both created in the programming environment Matlab. The basic antenna design and its optimization are performed by the program CST controlled by an in-house Matlab code. In the thesis, an empiric research of miniaturization and sensitivity of the electrically small antenna is conducted.
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Pixelated electrically small antenna
Turák, Samuel ; Kadlec, Petr (oponent) ; Zechmeister, Jaroslav (vedoucí práce)
This bachelor thesis deals with the problematic of programming and implementation of binary evolutionary algorithms and their practical application for design of pixelated electrically small antenna for ISM band 868 MHz. Two binary evolutionary algorithms are introduced and implemented, both created in the programming environment Matlab. The basic antenna design and its optimization are performed by the program CST controlled by an in-house Matlab code. In the thesis, an empiric research of miniaturization and sensitivity of the electrically small antenna is conducted.This bachelor thesis deals with the problematic of programming and implementation of binary evolutionary algorithms and their practical application for design of pixelated electrically small antenna for ISM band 868 MHz. Two binary evolutionary algorithms are introduced and implemented, both created in the programming environment Matlab. The basic antenna design and its optimization are performed by the program CST controlled by an in-house Matlab code. In the thesis, an empiric research of miniaturization and sensitivity of the electrically small antenna is conducted.
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