Benedikt Fesl - Concepedia

Author

Benedikt Fesl

Technical University of Munich ORCID

Also Known As

Benedikt Fesl, Fesl, B., Fesl, Benedikt, Joham, Michael

Publications

279

Citations

H-Index

Concepts

All Affiliations

Technical University of Munich

About

Benedikt Fesl is an author at Technical University of Munich specializing in engineering, signal processing, and statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	82
2	Computer Science	3	3	60
3	Data Science	3	3	58
4	Computer Engineering	2	2	44
5	Deep Learning	1	1	22

Benedikt Fesl

Publications

212

Citations

H-Index

Page 1

	Year	Citations
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models Michael Köller, Benedikt Fesl, Nurettin Turan, IEEE Transactions on Signal Processing	2022	41
Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation Benedikt Fesl, Michael Baur, Florian Strasser, IEEE Wireless Communications Letters	2024	27
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems Benedikt Fesl, Michael Köller, Wolfgang Utschick IEEE Transactions on Signal Processing EngineeringChannel CharacterizationOne-bit Quantized SystemsStatistical Signal ProcessingChannel Capacity Estimation	2023	24
Variational Autoencoder Leveraged MMSE Channel Estimation Michael Baur, Benedikt Fesl, Michael Köller, Channel ModelingEngineeringMachine LearningData ScienceChannel Capacity Estimation	2022	22
Channel Estimation based on Gaussian Mixture Models with Structured Covariances Benedikt Fesl, Michael Joham, Sha Hu, Statistical Signal ProcessingEngineeringChannel Capacity EstimationData ScienceLow Computational Complexity	2022	20
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling Nurettin Turan, Benedikt Fesl, Michael Köller, IEEE Transactions on Wireless Communications	2023	18
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models Benedikt Fesl, Nurettin Turan, Benedikt Böck, IEEE Transactions on Signal Processing	2024	17
Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation Benedikt Fesl, Nurettin Turan, Michael Joham, IEEE Wireless Communications Letters EngineeringMachine LearningChannel CharacterizationMixture Of ExpertStatistical Signal Processing	2023	16
Leveraging Variational Autoencoders for Parameterized MMSE Estimation Michael Baur, Benedikt Fesl, Wolfgang Utschick IEEE Transactions on Signal Processing	2024	16
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data Nurettin Turan, Benedikt Fesl, Moritz Grundei,	2022	11

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