Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
Reservoir computing (RC) is a class of neuromorphic computing approaches that deals particularly well with time-series prediction tasks. It significantly reduces the training complexity of recurrent neural networks and is also suitable for hardware implementation whereby device physics are utilized in performing data processing. In this paper, the RC concept is applied to detecting a transmitted s...
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关键词
OFDM,Training,Channel estimation,Receivers,Wireless communication,Recurrent neural networks,Reservoirs
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