Discrete-time signal processing

Bachelor Studies SS 2024

L: Mo 09:15 - 10:45 Uhr, Start: 08.04.2024
Room: P7.4.02
E: Mo 14:00 - 15:30 Uhr, Start: 08.04.2024
Room: P7.2.02.1

Statistical and Machine Learning

Master Studies SS 2024

L: Di 14:00 - 15:30 Uhr, Start: 09.04.2024
E: Do 15:45 - 17:15 Uhr, Start: 09.04.2024
Room: P7.2.03

Digital Speech Signal Processing

Master Studies SS 2024

L: Do 09:15 - 10:45 Uhr, Start: 11.04.2024
E: Do 11:00 - 12:30 Uhr, Start: 11.04.2024
Room: P7.4.02

Wireless Communications

Master Studies SS 2024

L: Di 09:15 - 10:45 Uhr, Start: 09.04.2024
E: Di 11:15 - 12:45 Uhr, Start: 09.04.2024
Room: P1.5.08.2

Project work

We offer a wide range of project work.

For all project work offered, the preliminary meeting will take place on Tue, 09.04.2024 at 13:00 in room P7.4.02.

Amateur radio

Here you will find all the possibilities for amateur radio with us.

Course number Course Length Lecturer WS SS
L.048.10901 Communications Engineering V2/Ü2
ECTS 5
Häb-Umbach
Cord-Landwehr
 
L.048.23018
L.048.92030
Topics in Pattern Recognition and Machine Learning V2/Ü2
ECTS 6
Häb-Umbach
Böddeker
 
L.048.24010
L.048.92011
Optimal and adaptive filters V2/Ü2
ECTS 6
Schmalenströer
Gburrek
 
L.048.21004 Processing of statistical signals V2/Ü2
ECTS 6
Häb-Umbach
von Neumann
 
L.048.10502 Applied programming project Ü2 Ullmann  
L.048.24004 Wireless Communications V2/Ü2
ECTS 6
Häb-Umbach
Kuhlmann
 
L.048.10908 Discrete-time signal processing V2/Ü2
ECTS 6
Schmalenströer
Gburrek
 
L.048.23012 Statistical and Machine Learning V2/Ü2
ECTS 6
Häb-Umbach
Böddeker
von Neumann
 
L.048.24001 Digital speech signal processing V2/Ü2
ECTS 6
Schmalenströer
Cord-Landwehr
Rautenberg
 
L.048.62003 Research Seminar Communications Engineering S2
ECTS 3
Häb-Umbach
Schmalenströer
L.048.28005 Communications Engineering (Project) P6
ECTS 9
Häb-Umbach
Schmalenströer
L.048.28501 Communications and Speech Processing (Project) P12
ECTS 18
Häb-Umbach
Schmalenströer
L.048.28049 Deep Learning (Project) P6
ECTS 9
Häb-Umbach
Schmalenströer

 

Overview by degree programme

1st study section with focus on Electrical Engineering

  • L.048.10809 Project seminar in communications engineering

2nd stage of study specialising in Electrical Engineering

  • L.048.10901 Communications engineering
  • L.048.10908 Discrete-time signal processing

2nd stage of study with minor in vocational education

  • L.048.10901 Communications Engineering
  • L.048.10809 Project seminar in communications engineering
  • L.048.10908 Discrete-time signal processing

Compulsory subjects

  • L.048.21004 Processing of statistical signals

Cognitive Systems

  • L.048.23018 Current topics in pattern recognition and machine learning
  • L.048.23012 Statistical and machine learning methods

Communication Technology

  • L.048.24010 Optimal and adaptive filters
  • L.048.24001 Digital speech signal processing
  • L.048.24004 Wireless Communications

Project work

  • L.048.28006 Digital Signal Processing (Project)
  • L.048.28005 Communications Engineering (Project)

2nd study section: Compulsory area Electrical Engineering

  • L.048.10901 Communications engineering

2nd stage of study: Compulsory elective module Electrical Engineering

  • L.048.10908 Discrete-time signal processing

Compulsory subjects

  • L.048.21004 Processing of statistical signals

Communications and Networks

  • L.048.24010 Optimal and adaptive filters
  • L.048.24004 Wireless Communications

Signal, Image and Speech Processing

  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.24010 Optimal and Adaptive Filters
  • L.048.23012 Statistical and Machine Learning Methods
  • L.048.24001 Digital Speech Signal Processing
  • L.048.24004 Wireless Communications

Computer Engineering Project Group

  • L.048.28501 Project Group Communications and Speech Processing

Specialisation course, compulsory technical elective module

  • L.048.10908 Discrete-time signal processing
  • L.048.10901 Communications engineering

Advanced studies, project seminars

  • L.048.62003 Research seminar in communications engineering

Compulsory technical elective modules

  • L.048.24001 Digital speech signal processing
  • L.048.24004 Wireless Communications
  • L.048.23012 Statistical and machine learning methods
  • L.048.23018 Current topics in pattern recognition and machine learning
  • L.048.21004 Processing statistical signals
  • L.048.24010 Optimal and adaptive filters

Bachelor degree programme

  • L.048.10502 Applied Programming Project

Master's programme: Specialised studies

  • L.048.10901 Communications Engineering

Master's programme: Minor vocational specialisation in automation engineering

  • L.048.10908 Discrete-time signal processing
  • L.048.23012 Statistical Learning Methods and Pattern Recognition

Master's programme: Minor vocational specialisation in Information Technology

  • L.048.24010 Optimal and adaptive filters
  • L.048.24004 Wireless Communications
  • L.048.24001 Digital Speech Signal Processing
  • L.048.10908 Discrete-time signal processing

Compulsory objectives: Module: Signal & Information Processing

  • L.048.92005 Statistical and Machine Learning

Compulsory

electives: Module: Fundamentals of ESE

  • L.048.92041 Digital Speech Signal Processing

Compulsory electives: Module: Signal & Information Processing

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92035 Wireless Communications

Compulsory electives: Module: ESE-Electives

  • L.048.92011 Optimal and Adaptive Filters
  • L.048.92030 Topics in Pattern Recognition and Machine Learning
  • L.048.92005 Statistical and Machine Learning
  • L.048.92035 Wireless Communications

Compulsory electives: Projects

  • L.048.28005 Communications Engineering (Project)
  • L.048.28006 Digital Signal Processing (Project)