| 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 | 35 | 2022 |
| On the mean square error optimal estimator in one-bit quantized systems B Fesl, M Koller, W Utschick IEEE Transactions on Signal Processing 71, 1968-1980, 2023 | 19 | 2023 |
| 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 | 18 | 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 | 16 | 2022 |
| Leveraging variational autoencoders for parameterized MMSE estimation M Baur, B Fesl, W Utschick IEEE Transactions on Signal Processing, 2024 | 15* | 2024 |
| 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 23 (6), 6251-6265, 2023 | 13 | 2023 |
| 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 | 12 | 2024 |
| Diffusion-based generative prior for low-complexity MIMO channel estimation B Fesl, MBF Strasser, M Joham, W Utschick IEEE Wireless Communications Letters, 2024 | 10 | 2024 |
| 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 12 (6), 1066-1070, 2023 | 9 | 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 | 9 | 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 | 8 | 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 |
| Enhanced low-complexity FDD system feedback with variable bit lengths via generative modeling N Turan, B Fesl, W Utschick 2023 57th Asilomar Conference on Signals, Systems, and Computers, 363-369, 2023 | 5 | 2023 |
| 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 | 5 | 2020 |
| 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 |
| 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 | 4 | 2024 |
| Wireless channel prediction via Gaussian mixture models N Turan, B Böck, KJ Chan, B Fesl, F Burmeister, M Joham, G Fettweis, ... 2024 27th International Workshop on Smart Antennas (WSA), 1-5, 2024 | 4 | 2024 |
| Low-rank structured MMSE channel estimation with mixtures of factor analyzers B Fesl, N Turan, W Utschick 2023 57th Asilomar Conference on Signals, Systems, and Computers, 375-380, 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 |
Wolfgang UtschickTechnical University of MunichVerifisert e-postadresse på tum.de