Lab "Real-time Signal Processing"

 

Basic Information
Lecturers: Gerhard Schmidt and Moritz Boueke
Room: KS2/Geb.G - PC-Labor
Language: English
Target group: Students in electrical engineering and computer engineering
Prerequisites: Skills in C programming language (DSS part), basic MATLAB/Python knowledge (NT part), diverse coding skills (ICT part)
Registration procedure:

If you want to sign up for this laboratory, you need to register with the following information in the form

  • surname, first name,
  • (stu) e-mail address,
  • matriculation number,
  • preferred topic (see below).

Please note, that the registration period starts the 12.03.2025 at 08:00 and ends the 07.04.2025 at 11:59. All applications before and after this registration period will not be taken into account.

Registration will be possible within the before mentioned time by sending an e-mail with the information above to This email address is being protected from spambots. You need JavaScript enabled to view it.

The registration is binding. A deregistration is possible by sending an e-mail with your name and matriculation number to This email address is being protected from spambots. You need JavaScript enabled to view it. until Sunday, 13.04.2025 at 23:59. All later cancellations of registration will be considered as having failed the lab.

Requirements, rules and commitments will be announced at the preliminary meeting (attendance is mandatory).

Attendance at all of the final presentations on the 08.07.2025 at 08:15 is mandatory as well to pass the lab.
Time:

Preliminary meeting: 15.04.2025 at 08:15, in presence, room: KS2/Geb.G - PC-Labor

Final presentations: 08.07.2025 at 08:15, in presence, room: KS2/Geb.G - PC-Labor
Contents: See the detailed introduction of the topics below.

 

Topics

ICT.1: Talkative Power Conversion for Smart Grid Communications (1 group of 3 students, Prof. Dr.-Ing. P.A. Hoeher)

Power electronics and communications engineering are commonly considered as two separate fields. Talkative Power Conversion (TPC) is a novel approach that focuses on data encoding during the process of power conversion. Strictly speaking this means that the usually periodic PWM signal of which its dutycycle is depending on the desired output voltage is replaced by an also data dependent switching signal.

In this lab, a simple setup made of microcrontrollers at transmitter and receiver side are used as real-time processors for modulation and demodulation. A demonstration and explanation of a state-of-proof of the TPC principle is the goal. C/C++ for Arduino programming are required.

Further contact: M.Sc. Maximilian Mewis, ICT, This email address is being protected from spambots. You need JavaScript enabled to view it.


ICT.2: Visible Light Positioning (VLP) (1 group of 3 students, Prof. Dr.-Ing. P.A. Hoeher)

VLP is an emerging indoor localization technique that utilizes visible light signals from LED sources to determine the position of a receiver. Unlike GPS, which struggles indoors, VLP provides high accuracy by leveraging different properties of light signals detected by a photodiode or camera sensor.

In this lab, a VLP system will be simulated in MATLAB. Through this process, optical signal propagation, path loss models, and localization algorithms in real-time indoor positioning will be explored. Programming skills in MATLAB are required.

Further contact: M.Sc. Hannes Dreier, ICT, This email address is being protected from spambots. You need JavaScript enabled to view it.


NT: Time Series Prediction using Machine Learning (1 group of 3 students, Prof. Dr.-Ing. S. Pachnicke)

One of the most critical points for autonomous vehicles is the handover process from one base station to another, since the vulnerability to additional latencies and even total connection loss is increased during this process. Hence, accurate handover prediction is an important step to ensuring a fast, stable connection and avoiding accidents.

In this project, multiple time-series forecasting models are to be implemented in Python and their capabilities predict handovers on provided datasets are to be evaluated and compared.

Further contact: M.Sc. Alexandr Langolf, NT, This email address is being protected from spambots. You need JavaScript enabled to view it.


DSS.1-3: Real-time Audio Processing (3 groups of 3 students, Prof. Dr.-Ing. G. Schmidt)

In this project, students are going to implement a speech enhancement system in the Kiel Real-Time Audio Toolkit (KiRAT). Algorithms within this framework are to be programmed in C language, the graphical user interface is written in C++ using the Qt framework. Thus, it is expected that the participants have some programming skills in C/C++. There will be up to three groups of three students that will create their own speech enhancement systems. Each group will specialize on one of the following algorithmic components:

  • Analysis and synthesis filter banks,
  • Noise estimation and
  • Noise reduction.

Further contact: M.Sc. Moritz Boueke, DSS, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Schedule of Talks

Attendance during all presentations as well as active paticipation in the discussions is mandatory to pass the lab.

The schedule can be found below:

08.07.2025 Group Topic Talk duration
08:15 Moritz Boueke Opening 5 minutes
08:20 DSS.1 Real-time Audio Processing - Filter Banks 30 + 5 minutes
09:00 ICT.1 Talkative Power Conversion for Smart Grid Communications 20 + 5 minutes
09:30 DSS.2 Real-time Audio Processing - Noise tbd 10 + 5 minutes
09:50 NT Time Series Prediction using Machine Learning 30 + 5 minutes