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Exercise to FPGA Based Detector Signal Processing

Course 0000004656 in WS 2019/20

General Data

Course Type exercise
Semester Weekly Hours 2 SWS
Organisational Unit Hadronic Structure and Fundamental Symmetries
Lecturers Dominic Gaisbauer
Stefan Huber
Dmytro Levit
Dominik Steffen
Responsible/Coordination: Stephan Paul
Dates Thu, 16:00–18:00, PH 3268

Assignment to Modules

  • PH2101: Signalverarbeitung mit FPGAs für Detektoren / FPGA based detector signal processing
    This module is included in the following catalogs:
    • Specific catalogue of special courses for nuclear, particle, and astrophysics
    • Specific catalogue of special courses for Applied and Engineering Physics
    • Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
    • Complementary catalogue of special courses for condensed matter physics
    • Complementary catalogue of special courses for Biophysics

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Detector data acquisition and online signal processing with programmable logic / field programmable gate arrays (FPGAs). - Introduction to the FPGA design process (modeling, simulation, synthesis, Xilinx design tools) - Introduction to the VHDL hardware description language (modularity, concurrent/sequential statements, synchronous/asynchronous logic) - Electronic design with VHDL and FPGAs (pipelined data processing, data flow control, counters, state machines) - Signal processing basics (signal sampling, FFT, digital filters) - Detector readout concepts (analog pipeline ASICs, sampling ADCs) - Debug and measurement equipment (oscilloscope, logic analyzer) - Design of a data acquisition system based on Xilinx FPGAs for a particle detector. (frontend ASIC configuration and readout, signal baseline correction, trigger decision, amplitude detection, ...) The course is divided into a lecture part and an applied laboratory part. The basic theory is covered by the lecture which can be applied immediately to the design software in the laboratory part. The different tasks for the final data acquisition project are shared between the students and can be implemented besides the course. The Xilinx FPGA design software is also available for installation on student laptops.
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

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