Lab "Embedded Signal Processing"

 

Basic Information
Lecturers: Finn Röhrdanz
Room: PC Lab, Building B
Language: German
Target group: Students in electrical engineering and information technology as well as students in electrical engineering, information technology and business management
Prerequisites: Signals and systems I,II
Registration procedure:

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

  • surname, first name,
  • (stu) e-mail address,
  • matriculation number,

Please note, that the registration period starts the 01.03.2024 at 08:00 am and ends the 05.04.2024 at 11:59 pm. 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 your name and matriculation number 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 Wednesday, xx.xx.2024 at 23:59 am. All later cancellations of registration will be considered as having failed the lab.

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

Time:

The first experiment takes place on the 24.04.2024 in KS2/Geb.G - PC-Labor. The corresponding documents will be distributed via E-mail.

On Wednesday: 14:00- 17:30h

Contents:

The presented lab "Embedded Signal Processing" is intended to prepare students for practical work in digital signal processing. Typical signal processing algorithms will be implemented during the lab on a signal processing platform using the C/C++ programming language. In addition, the lab deepens the theoretical knowledge of the two signal and systems lectures.

The contents of the lab is the following:

  • Introduction to the hardware and the programming language
  • Implementation of an analysis filter bank
  • Implementation of a synthesis filter bank
  • Implementation of highpass- and bandpass filtering (frequency domain)
  • Introduction to the noise reduction
  • Implementation of the modules of the noise reduction

 

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