Selected Topics in Communications Engineering
Type: Seminar with 3 or 4 SWS
In this seminar, advanced topics of communications technology and information transmission will be discussed. The focus will be on recent developments as well as aspects of system realization.
Participating students work out different topics and present these in talks of about 25 minutes. Apart from the scientific and technical topics, the seminar also emphasizes on presentation skills. These are addressed in a Presentation Workshop which is held early in the semester. This workshop also provides an introduction into the technical topics of the seminar.
Fundamental knowledge of communications engineering, e.g. from the lectures "Kommunikationstechnik", "Information Theory and Source Coding", "Informationsübertragung" or "Signals, Systems and Communication". The number of participants is limited to 16.
Materials: Starting material for the literature research will be provided.
Language: German / English
Introduction and topic assignment will take place on Wednesday, April 15th 2020 at 1:30pm in lecture room 4G. A formal registration in the RWTHonline system is required.
The integrated presentation workshop will take place on Monday, April 27th 2020 from 9:00am to 6:00pm in lecture room 4G.
The seminar presentations will take place from June 2nd-3rd 2020 in Rurberg
All dates stated above are compulsory.
Topic in Winter term 2019/20: "Signal Modelling for Audio-Visual Communication"
- Learning Latent Representations of Speech
- Spherical Harmonics-Based Description of Sound Fields
- Compressed Sensing-based Image or Video Coding
- Guided Image Colorization with Learned Deep Priors
Topic in Summer term 2019: "Machine Learning for Audiovisual Processing"
- Neural Networks in Binaural Sound Source Localization
- Speech Synthesis with Tacotron
- Recurrent Neural Networks for Reference Frame Prediction
- Point Cloud Classification and Segmentation
Topic in Winter term 2018/19: "Efficient Data Representation and Sparse Models for Audio-Visual Communication"
- Sparsity in Room Impulse Response-Modelling
- Feature Engineering for Machine Learning in the Speech Domain
- Dictionary Learning for Image Compression
- Compression and Quantisation of Neural Networks
Summer term 2019:
Participants of the evaluation: 18
Global grade: 1.5
Seminar Concept: 1.5
Supervision during Lecture and Elaboration: 1.5
Winter term 2018/19:
Participants of the evaluation: 17
Global grade: 1.4
Seminar Concept: 1.5
Supervision during Lecture and Elaboration: 1.4
Summer term 2018:
Participants of the evaluation: 16
Global grade: 1.3
Seminar Concept: 1.2
Supervision during Lecture and Elaboration: 1.3