Learning to Detect

In this paper, we consider multiple-input-multiple-output detection using deep neural networks. We introduce two different deep architectures: a standard fully connected multi-layer network, and a detection network (DetNet), which is specifically designed for the task. The structure of DetNet is obt...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 67; H. 10; S. 2554 - 2564
Hauptverfasser:	Samuel, Neev, Diskin, Tzvi, Wiesel, Ami
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Complexity theory Deep learning Detectors MIMO communication MIMO detection Multilayers Neural networks Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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