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1. CN111224677 - 编码方法、译码方法及装置

Office China
Application Number 201811428115.5
Application Date 27.11.2018
Publication Number 111224677
Publication Date 02.06.2020
Publication Kind A
IPC
H03M 13/13
HELECTRICITY
03BASIC ELECTRONIC CIRCUITRY
MCODING, DECODING OR CODE CONVERSION, IN GENERAL
13Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
05using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
13Linear codes
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants 华为技术有限公司
Inventors 徐晨
李榕
于天航
乔云飞
杜颖钢
黄凌晨
王俊
Agents 北京润泽恒知识产权代理有限公司 11319
Title
(ZH) 编码方法、译码方法及装置
Abstract
(ZH)
本申请实施例提供了一种编码、译码方法及装置,涉及通信领域,该方法可基于核矩阵生成对应的神经网络单元,再将神经网络单元组成编码神经网络或译码神经网络,实现了将小的神经网络单元进行连接后,得到编码神经网络或译码神经网络,从而在编码/译码的学习过程中,能够通过小的学习样本,泛化至整个码字空间,而弱化具有较长码字的信息对神经网络的复杂度以及学习难度的影响。

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