Tutors: Christoph Weyer, Till Hardenbicker
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: English and German
Registration: via RWTHonline
Introductory session (Mandatory):
Monday, October 17, 2022,
02.00pm - 03.30pm,
It is planned to do the lab in person this semester. The total number of participants is limited. Who will be assigned a spot on the lab is decided in the introductory session. The introductory session will take place virtually via zoom. The invitation link will be provided in advance to all students registered in RWTHonline.
Lab time takes place on Monday from 2:00-6:00 p.m.
Lab 1: 24.10.2022
Lab 2: 31.10.2022
Lab 3: 07.11.2022
Lab 4: 14.11.2022
Lab 5: 21.11.2022
Lab 6: 28.11.2022
Lab 7: 05.12.2022
Lab 8: 09.01.2023
Lab 9: 16.01.2023
Lab 10: 23.01.2023
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.
Reliable knowledge in signals and systems (Fourier-/z-Transformation, digital filters) should be available.
Winter term 2021/22:
Number of participants in evaluation: 15
Practical Concept: 1.3
Instruction and Supervision: 1.2