|
|
Laboratory workplace for measuring performances of DVB-T2/T2-Lite
Youssefová, Kristina ; Kratochvíl, Tomáš (oponent) ; Polák, Ladislav (vedoucí práce)
This work focuses on the exploring of the properties of the second generation terrestrial digital video broadcasting standard (DVB-T2). This work can be divided onto three main parts. In the first part, the signal processing chain in the standard DVB-T2 is studied. Possible I/Q-Imbalances in DVB-T2 OFDM modulator are also taken into account. In the second one, a laboratory measurement workplace is proposed to measure the performance of DVB-T2 system. In the third one, the correctness of the proposed concept is verified by extensive experimental measurements. This work also proposes a laboratory work to measure different DVB-T2 transmission scenarios.
|
|
|
RF transmitter authentication based on front-end impairments
Youssefová, Kristina ; Slanina, Martin (oponent) ; Maršálek, Roman (vedoucí práce)
This work focuses on classifying Radio Frequency transmitters depending on their Radiofrequency imperfections by using a machine learning algorithm. The thesis is divided into two parts – theoretical and practical. The theoretical part can be divided into three branches. In the first branch, an overview of the RF transmitter with direct conversion is given. In the second one, Possible imperfections in the radio front-end are studied. In the third one, some supervised machine learning algorithms were explained. A detailed explanation of the support vector machine and neural network algorithms is given. The practical part deals with the implementation of support vector machines and neural networks in the MATLAB program and the evaluation of results.
|
|
|
Rf Transmitter Classification Based On Front-End Impairments
Youssefová, Kristina
This paper focuses on classifying Radio Frequency transmitters depending on their Radiofrequencyimperfections using a machine learning algorithm. The theoretical part of the papercan be divided into two branches. In the first branch, possible imperfections in the radio frequencytransmitters are presented. In the second one, the support vector machine algorithm is explained.The practical part deals with the implementation of support vector machines in the MATLAB programand the evaluation of results.
|
|
|
RF transmitter authentication based on front-end impairments
Youssefová, Kristina ; Slanina, Martin (oponent) ; Maršálek, Roman (vedoucí práce)
This work focuses on classifying Radio Frequency transmitters depending on their Radiofrequency imperfections by using a machine learning algorithm. The thesis is divided into two parts – theoretical and practical. The theoretical part can be divided into three branches. In the first branch, an overview of the RF transmitter with direct conversion is given. In the second one, Possible imperfections in the radio front-end are studied. In the third one, some supervised machine learning algorithms were explained. A detailed explanation of the support vector machine and neural network algorithms is given. The practical part deals with the implementation of support vector machines and neural networks in the MATLAB program and the evaluation of results.
|
|
|
Laboratory workplace for measuring performances of DVB-T2/T2-Lite
Youssefová, Kristina ; Kratochvíl, Tomáš (oponent) ; Polák, Ladislav (vedoucí práce)
This work focuses on the exploring of the properties of the second generation terrestrial digital video broadcasting standard (DVB-T2). This work can be divided onto three main parts. In the first part, the signal processing chain in the standard DVB-T2 is studied. Possible I/Q-Imbalances in DVB-T2 OFDM modulator are also taken into account. In the second one, a laboratory measurement workplace is proposed to measure the performance of DVB-T2 system. In the third one, the correctness of the proposed concept is verified by extensive experimental measurements. This work also proposes a laboratory work to measure different DVB-T2 transmission scenarios.
|
host ::
RSS.