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FPGA Based Detector Signal Processing 
Summer semester 2021
... alle LV-Personen
Chair of Physics I (E18) - (Prof. Paul)
(Contact information)
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FPGA-based Detector Signal and Data Processing in Experimental Physics

Modern experiments often have a very high data-throughput, this can only be handled by online data processing which can not be performed
by computers. In order to fulfill the requirements, custom electronics employing FPGAs are used.

This lecture gives an introduction to FPGA technology and its applications for research in High Energy Physics.
Students will gain knowledge in VHDL and testbench coding technique and become familiar with Xilinx Vivado FPGA development tools.
The course includes an introduction to real time digital signal processing as well.

The following subject will be discussed during the course:

- FPGA technology, FPGA architecture;

- boolean algebra, digital data, digital circuits;

- Introduction to VHDL (Very high speed integrated circuits Hadware Description Language);

- Vivado Xilinx FPGA development tools;

- Detector readout technique, time and amplitude measurements;

- Data processing, signal detection, feature extraction;

- Digital filters, Fast Fourier Transform (FFT) algorithm;

The course consists of lectures and a lab course. During the lab course students will develop a data acquisition system which includes the discussed techniques of signal processing.

It's required that every student has a personal computer in order to access a workstation with installed Vivado software tools.

The course is advised for master students who is interested in experimental physics.
  • English
  • German
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Online information
e-learning course (moodle)
Dozenten: Dipl.-Ing. Igor Konorov, Dipl.-Ing. Alexander Mann