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Title:
CHANNEL DECODING METHOD, APPARATUS, TRAINING METHOD FOR NEURAL NETWORK MODEL USED FOR CHANNEL DECODING, AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2023/272739
Kind Code:
A1
Abstract:
The present disclosure relates to the field of communication, and provided within is a channel decoding method. A technical solution of the present disclosure, in essence, is: decoding, on the basis of a pre-trained neural network model, a received codeword to be decoded that is obtained after an information sequence undergoes channel transmission, so as to obtain a decoded codeword corresponding to the received codeword; wherein the pre-trained neural network model comprises a decoding generator, and the decoding generator decodes the received codeword and outputs the decoded codeword.

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Inventors:
ZHENG FENG (CN)
PANG BOWEN (CN)
CHI LIANGANG (CN)
Application Number:
PCT/CN2021/104367
Publication Date:
January 05, 2023
Filing Date:
July 02, 2021
Export Citation:
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Assignee:
BEIJING XIAOMI MOBILE SOFTWARE CO LTD (CN)
International Classes:
H04L25/02; H03M13/37
Foreign References:
CN110351212A2019-10-18
CN111106839A2020-05-05
CN109361404A2019-02-19
CN111901000A2020-11-06
CN108650201A2018-10-12
US20210201003A12021-07-01
Attorney, Agent or Firm:
FASHENG INTELLECTUAL PROPERTY COMPANY, LTD. (CN)
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