Conference Paper

Optimizing Dataset Quality and Diversity in Neural Networks: A Study of the Vendi Score

We investigate methods for evaluating and optimizing dataset quality in the context of image-based object detection tasks, focusing on the Vendi Score (VS) and its enhanced …

sebastian-krebs

Evaluation and Extension of a Multi Dimensional Graph Based Receiver Concept for MIMO OFDM

In most modern wireless systems, adaptive modulation and channel coding is applied to achieve a high spectral efficiency. Hence, suitable receivers need to support a large variety …

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Christopher Knievel

Improving Multi Dimensional Graph Based Soft Channel Estimation

The principles and benefits of soft decisions are well known and widely applied. The advantage of knowing that a decision is reliable or not is obvious. Belief propagation within a …

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Christopher Knievel

Particle Swarm Enhanced Graph Based Channel Estimation for MIMO OFDM

Iterative receiver structures that jointly perform channel estimation and decoding promise substantial performance gains. However, these gains only materialize with sufficiently …

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Christopher Knievel

Low Complexity Receiver for Large MIMO Space Time Coded Systems

The substantial gains promised by multi-antenna systems require accurate channel knowledge, at least at the receiver side. Furthermore, the complexity of most receivers becomes …

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Christopher Knievel

2D Graph Based Soft Channel Estimation for MIMO OFDM

We address joint channel estimation and data detection based on factor graphs. The considered graph-based approach utilizes reliability information of channel estimates to …

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Christopher Knievel

Joint Channel and Parameter Estimation for Combined Communication and Navigation Using Particle Swarm Optimization

In this paper, a new method for joint channel and parameter estimation in the framework of combined communication and navigation is investigated. The basic idea is to estimate the …

kathrin-schmeink