| An asymptotically MSE-optimal estimator based on Gaussian mixture models M Koller, B Fesl, N Turan, W Utschick IEEE Transactions on Signal Processing 70, 4109-4123, 2022 | 24 | 2022 |
| Variational autoencoder leveraged mmse channel estimation M Baur, B Fesl, M Koller, W Utschick 2022 56th Asilomar Conference on Signals, Systems, and Computers, 527-532, 2022 | 14 | 2022 |
| Channel estimation based on Gaussian mixture models with structured covariances B Fesl, M Joham, S Hu, M Koller, N Turan, W Utschick 2022 56th Asilomar Conference on Signals, Systems, and Computers, 533-537, 2022 | 12 | 2022 |
| Centralized learning of the distributed downlink channel estimators in FDD systems using uplink data B Fesl, N Turan, M Koller, M Joham, W Utschick WSA 2021; 25th International ITG Workshop on Smart Antennas, 1-6, 2021 | 8 | 2021 |
| A versatile low-complexity feedback scheme for FDD systems via generative modeling N Turan, B Fesl, M Koller, M Joham, W Utschick IEEE Transactions on Wireless Communications, 2023 | 7 | 2023 |
| On the mean square error optimal estimator in one-bit quantized systems B Fesl, M Koller, W Utschick IEEE Transactions on Signal Processing, 2023 | 7 | 2023 |
| Learning a Gaussian mixture model from imperfect training data for robust channel estimation B Fesl, N Turan, M Joham, W Utschick IEEE Wireless Communications Letters, 2023 | 7 | 2023 |
| Evaluation of a Gaussian mixture model-based channel estimator using measurement data N Turan, B Fesl, M Grundei, M Koller, W Utschick 2022 International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2022 | 7 | 2022 |
| An asymptotically optimal approximation of the conditional mean channel estimator based on Gaussian mixture models M Koller, B Fesl, N Turan, W Utschick ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| Discrete one-bit precoding for massive MIMO B Fesl, H Jedda, JA Nossek WSA 2019; 23rd International ITG Workshop on Smart Antennas, 1-6, 2019 | 5 | 2019 |
| Leveraging Variational Autoencoders for Parameterized MMSE Channel Estimation M Baur, B Fesl, W Utschick arXiv preprint arXiv:2307.05352, 2023 | 4 | 2023 |
| Low-rank structured MMSE channel estimation with mixtures of factor analyzers B Fesl, N Turan, W Utschick arXiv preprint arXiv:2304.14809, 2023 | 4 | 2023 |
| GMM-based codebook construction and feedback encoding in FDD systems N Turan, M Koller, B Fesl, S Bazzi, W Xu, W Utschick 2022 56th Asilomar Conference on Signals, Systems, and Computers, 37-42, 2022 | 4 | 2022 |
| On distributional invariances between downlink and uplink MIMO channels N Turan, M Koller, V Rizzello, B Fesl, S Bazzi, W Xu, W Utschick WSA 2021; 25th International ITG Workshop on Smart Antennas, 1-6, 2021 | 4 | 2021 |
| A low-complexity MIMO channel estimator with implicit structure of a convolutional neural network B Fesl, N Turan, M Koller, W Utschick 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 4 | 2021 |
| Learning a low-complexity channel estimator for one-bit quantization B Fesl, M Koller, N Turan, W Utschick 2020 54th Asilomar Conference on Signals, Systems, and Computers, 393-397, 2020 | 4 | 2020 |
| Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models B Fesl, N Turan, B Böck, W Utschick IEEE Transactions on Signal Processing, 2024 | 2 | 2024 |
| Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling N Turan, B Fesl, W Utschick arXiv preprint arXiv:2305.03427, 2023 | 2 | 2023 |
| Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders M Baur, N Turan, B Fesl, W Utschick ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation B Fesl, M Baur, F Strasser, M Joham, W Utschick arXiv preprint arXiv:2403.03545, 2024 | 1 | 2024 |
Wolfgang UtschickTechnical University of Munich在 tum.de 的电子邮件经过验证
