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Utilization of deep learning for channel estimation in OFDM systems
Hubík, Daniel ; Staněk, Miroslav (referee) ; Miloš, Jiří (advisor)
This paper describes a wireless communication model based on IEEE 802.11n. Typical methods for channel equalisation and estimation are described, such as the least squares method and the minimum mean square error method. Equalization based on deep learning was used as well. Coded and uncoded bit error rate was used as a performance identifier. Experiments with topology of the neural network has been performed. Programming languages such as MATLAB and Python were used in this work.
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Slithy, a blend of lithe and slimy
Šillerová, Kateřina ; Alster, Darina (referee) ; Hládeková, Katarína (advisor)
For my work Slithy, a Blend of Lithe and Slimy, a thought that consciousness appears even on the lowest levels of existence is essencial, I create an enviroment of a lab, in which spectator is in the role of another organism, surrounded by other organisms. I'm interested in relationship between microcosmos and macrocosmos and in seeing the same pattern through reality.
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Slithy, a blend of lithe and slimy
Šillerová, Kateřina ; Alster, Darina (referee) ; Hládeková, Katarína (advisor)
For my work Slithy, a Blend of Lithe and Slimy, a thought that consciousness appears even on the lowest levels of existence is essencial, I create an enviroment of a lab, in which spectator is in the role of another organism, surrounded by other organisms. I'm interested in relationship between microcosmos and macrocosmos and in seeing the same pattern through reality.
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Utilization of deep learning for channel estimation in OFDM systems
Hubík, Daniel ; Staněk, Miroslav (referee) ; Miloš, Jiří (advisor)
This paper describes a wireless communication model based on IEEE 802.11n. Typical methods for channel equalisation and estimation are described, such as the least squares method and the minimum mean square error method. Equalization based on deep learning was used as well. Coded and uncoded bit error rate was used as a performance identifier. Experiments with topology of the neural network has been performed. Programming languages such as MATLAB and Python were used in this work.
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