N
Neev Samuel
Researcher at Hebrew University of Jerusalem
Publications - 3
Citations - 788
Neev Samuel is an academic researcher from Hebrew University of Jerusalem. The author has contributed to research in topics: Deep learning & MIMO. The author has an hindex of 3, co-authored 3 publications receiving 465 citations.
Papers
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Journal ArticleDOI
Learning to Detect
TL;DR: Li et al. as mentioned in this paper proposed two different deep architectures: a standard fully connected multi-layer network, and a detection network (DetNet), which was specifically designed for the task of multiple-input-multiple-output detection.
Proceedings ArticleDOI
Deep MIMO detection
TL;DR: The results show that deep networks can achieve state of the art accuracy with significantly lower complexity while providing robustness against ill conditioned channels and mis-specified noise variance.
Posted Content
Deep MIMO Detection
TL;DR: In this article, the use of deep neural networks in the context of multiple-input-multiple-output (MIMO) detection has been investigated and the results show that deep networks can achieve state-of-the-art accuracy with significantly lower complexity while providing robustness against ill conditioned channels and mis-specified noise variance.