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20122026
most citedVLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

260 citations · 456 across the 15 of their papers we have counts for

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Showing 2020 · eess.SPShow all

2 papers · 2 filters

eess.SP2020★ 102 cited

Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming

Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon +1

Hybrid beamforming is a promising technique to reduce the complexity and cost of massive multiple-input multiple-output (MIMO) systems while providing high data rate. However, the…

eess.SP2020★ 11 cited

RSSI-Based Hybrid Beamforming Design with Deep Learning

Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal +2

Hybrid beamforming is a promising technology for 5G millimetre-wave communications. However, its implementation is challenging in practical multiple-input multiple-output (MIMO) sy…