Praktikum Nachrichtentechnik

  • type: Praktikum (P)
  • chair: KIT-Fakultäten - KIT-Fakultät für Elektrotechnik und Informationstechnik
  • semester: SS 2023
  • time:

    Mi 26.04.2023
    14:00 - 18:00, wöchentlich

    Mi 03.05.2023
    14:00 - 18:00, wöchentlich

    Mi 10.05.2023
    14:00 - 18:00, wöchentlich

    Mi 17.05.2023
    14:00 - 18:00, wöchentlich

    Mi 24.05.2023
    14:00 - 18:00, wöchentlich

    Mi 07.06.2023
    14:00 - 18:00, wöchentlich

    Mi 14.06.2023
    14:00 - 18:00, wöchentlich

    Mi 21.06.2023
    14:00 - 18:00, wöchentlich

    Mi 28.06.2023
    14:00 - 18:00, wöchentlich

    Mi 05.07.2023
    14:00 - 18:00, wöchentlich

    Mi 12.07.2023
    14:00 - 18:00, wöchentlich

    Mi 19.07.2023
    14:00 - 18:00, wöchentlich



  • start: 26.04.2023
  • lecturer: Prof. Dr.-Ing. Laurent Schmalen
    Dr.-Ing. Holger Jäkel
    Eike-Manuel Bansbach
    Benjamin Sturm
  • sws: 4
  • lv-no.: 2310517
  • information: Präsenz/Online gemischt
VortragsspracheDeutsch
Organisatorisches

siehe Homepage

The start date of the lab is 26.04.2023. The lab will be in presence at the computer room of the CEL. Note, that the lab can only be accounted for the Master (or "Mastervorzug"), not for the Bachelor. For any questions contact Luca Schmid or Andrej Rode.

The binding registration can be done via the respective ILIAS course until 21.04.2023.

The goal of this lab is the deepening of the theory from the Bachelor courses "Nachrichtentechnik I" and "Signale und Systeme" as well as the practical application. By means of various experiments in Python and GNU Radio, practical knowledge is also imparted.

The lab is divided into 11 experiments, which are worked on during 11 consecutive sessions. To successfully complete the lab, you must attend each experiment. On the last lab day (19.07.23), you have the chance to redo one experiment which you missed. The topics of the individual sessions are:

  1.     Introduction to the Version Control System Git and the Python Library NumPy
  2.     Discrete Fourier Transform
  3.     Sampling Theorem
  4.     FIR Filters
  5.     Stochastic Signals
  6.     Source Coding
  7.     Channel Coding
  8.     Digital Modulation
  9.     Orthogonal Frequency Division Multiplexing (OFDM)
  10.     Synchonisation
  11.     Machine Learning and Optimization in Communications

Requirements for this lab is are the Bachelor courses "Signale und Systeme" and "Nachrichtentechnik I". The material of this course (script) is in English.