- 专利标题： Transmission filtering using machine learning
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申请号： US16153051申请日： 2018-10-05
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公开(公告)号： US10708094B2公开(公告)日： 2020-07-07
- 发明人: Fatih Yaman , Shaoliang Zhang , Eduardo Mateo Rodriguez , Yoshihisa Inada , Yue-Kai Huang , Weiyang Mo
- 申请人： NEC Laboratories America, Inc. , NEC Corporation
- 申请人地址： JP Tokyo
- 专利权人： NEC Corporation
- 当前专利权人： NEC Corporation
- 当前专利权人地址： JP Tokyo
- 代理商 Joseph Kolodka
- 主分类号： H04L25/03
- IPC分类号： H04L25/03 ; G06N3/08 ; H04B10/079 ; H04B10/2513 ; H04B10/2507 ; H04B10/69
摘要：
Systems and methods for transmission filtering are provided. A receiver includes an input coupled to a transmission line to receive distorted optical symbols. A distortion filter is coupled to the input to replace the distorted optical symbols with predicted symbols using a trained neural network. A decoder is coupled to the distortion filter to decode the predicted symbols.
公开/授权文献
- US20190109736A1 TRANSMISSION FILTERING USING MACHINE LEARNING 公开/授权日：2019-04-11