Chair of
Multimedia Communications and Signal Processing
Prof. Dr.-Ing. André Kaup

Seminar on Selected Topics of Multimedia Communications and Signal Processing

Lecturers:Prof. Dr.-Ing. André Kaup
Prof. Dr.-Ing. Walter Kellermann
Prof. Dr.-Ing. habil. Rudolf Rabenstein
Prof. Dr. Veniamin Morgenshtern
M.Sc. Johannes Bauer
M.Sc. Karina Jaskolka
Tutors:M.Sc. Johannes Bauer
M.Sc. Karina Jaskolka
Type:Seminar
Lecture language:English
Time Lecture: 8:00-12:00 05.025*
8:00-12:00 05.025*
8:00-19:00 05.025*
Credit Points:2,5 ECTS
Hours (Lecture):2

All data marked with a * are directly imported from UnivIS


Machine Learning in Multimedia Signal Processing

 

Info PDF

 

The field of machine learning is concerned with the construction of intelligent systems based on the automatic discovery of regularities in data.In the learning phase, an algorithm “learns” patterns from a set of training data by adapting its model parameters. The pre-trained system is subsequently employed to analyze various input data. Machine learning is used in almost all areas of signal processing, e.g. in automatic speech recognition, parameter estimation in complex electrical networks, or in video and image processing.

In the last two decades, a variety of approaches have been proposed applying machine learning techniques to classical signal processing tasks. This seminar focuses on the description of fundamental concepts from machine learning theory as well as their application to different signal processing topics.

 

This seminar is designed for Bachelor and Master programs in Electrical Engineering, Electronics and Information Technology (EEI), Information and Communication Technology (IuK), Industrial Engineering and Management (WING), Computational Engineering (CE), Communications and Multimedia Engineering (CME), as well as related study programs.

 

The seminar is organized around three mandatory meetings:

The seminar is open to engineering students having completed at least 4 semesters of relevant bachelor studies. All meetings and presentations shall preferably be held in English and the reports are expected to be written in English.

 

Contact & Registration

Karina Jaskolka M.Sc.