Invention Grant
- Patent Title: System and a method for error correction coding using a deep neural network
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Application No.: US16229820Application Date: 2018-12-21
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Publication No.: US10735141B2Publication Date: 2020-08-04
- Inventor: Amir Bennatan , Yoni Choukroun , Pavel Kisilev , Junqiang Shen
- Applicant: Huawei Technologies Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: Huawei Technologies Co., Ltd.
- Current Assignee: Huawei Technologies Co., Ltd.
- Current Assignee Address: CN Shenzhen
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: H03M13/00
- IPC: H03M13/00 ; H04L1/00 ; H03M13/11 ; G06N3/08 ; G06N3/04

Abstract:
A system for reducing analog noise in a noisy channel, comprising: an interface configured to receive analog channel output comprising a stream of noisy binary codewords of a linear code; and a computation component configured to perform the following: for each analog segment of the analog channel output of block length: calculating an absolute value representation and a sign representation of a respective analog segment, calculating a multiplication of a binary representation of the sign representation with a parity matrix of the linear code, inputting the absolute value representation and the outcome of the multiplication into a neural network for acquiring a neural network output, and estimating a binary codeword by component-wise multiplication of the neural network output and the sign representation.
Information query
IPC分类: