MATLAB Laboratory

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General Information

Tutors: Matthias Schrammen, Stefan Liebich, Johannes Fabry

Date: 10 practice sessions à 4 hours
(further details are announced at the start of each semester)

Requirements: Completed Bachelor Degree

Manuscript: All needed documents are provided free of charge

Language: German and English

Registration: via campusOffice

Dates

Introductory session (Mandatory):
Tuesday, October 10th, 2017,
02.00pm - 03.00pm,
Lecture room 4G at IKS

Lab time: on Mondays, 2pm - 6pm

  • Experiment 1: 16.10.2017
  • Experiment 2: 23.10.2017
  • Experiment 3: 06.11.2017
  • Experiment 4: 13.11.2017
  • Experiment 5: 20.11.2017
  • Experiment 6: 27.11.2017
  • Experiment 7: 04.12.2017
  • Experiment 8: 08.01.2018
  • Experiment 9: 15.01.2018
  • Experiment 10: 22.01.2018

Lab time: on Tuesdays, 2pm - 6pm

  • Experiment 1: 17.10.2017
  • Experiment 2: 24.10.2017
  • Experiment 3: 07.11.2017
  • Experiment 4: 14.11.2017
  • Experiment 5: 21.11.2017
  • Experiment 6: 28.11.2017
  • Experiment 7: 05.12.2017
  • Experiment 8: 09.01.2018
  • Experiment 9: 16.01.2018
  • Experiment 10: 23.01.2018

 

 

Content

The lab “MATLAB Advanced – Digital Signal Processing” offers a profound insight into MATLAB programming techniques and expands the knowledge gained in the LEGO-Mindstorms course of the first Bachelor semester. The goal is to enhance the knowledge in the programming language and the practical experiences with the programming environment. Most examples are related to tasks of digital signal processing.

MATLAB is a tool which is widely spread in various engineering disciplines. This wide usage results mainly from the efficient execution of numerical methods of linear algebra and the fast calculation of matrix based operations. The numerous graphical plotting possibilities in combination with various available toolboxes, which extend the basic functionality, accelerate the development of programs and algorithms in MATLAB. In this lab we focus on the “Signal Processing Toolbox” for the majority of problems.