Tutor: | Tim Düe |
Type of Thesis: | Project (MSc), Master's thesis (MSc), Bachelor thesis (BSc.) |
date of issue: | 04/2024 |
Student: | - |
Status: | available |
Abstract: | Overview: Bayesian Neural Networks (BNNs) are a derivation of the traditional Neural Networks (NNs), represent parameters by distributions instead of singular values. This leads to BNNs being able to incorporate more system information and result in not only results but also the certainty of the results inherently. As communications has a probabilstic nature, BNNs may be a promissing approach for signal processing. The task in this thesis/project is to investigate the general applicability of BNNs for communications systems. Goals: The final objectives will be agreed on together with the student, the following is only a suggestion.
Requirements: Ideally you fullfill the following criteria. If your profile varies but you are still interested in the project, you may contact me anyways.
Further Information: For further information feel free to contact me via E-Mail (duee@ant.uni-bremen.de). |