Open AccessResearch on Error Correction Coding Closed Set Recognition Technology Based on Deep Learning Method
Author(s) -
Jianjun Chen
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032102
Subject(s) - computer science , coding (social sciences) , scrambling , artificial intelligence , deep learning , constraint (computer aided design) , convolutional code , block code , error detection and correction , block (permutation group theory) , key (lock) , set (abstract data type) , algorithm , theoretical computer science , machine learning , decoding methods , mathematics , statistics , computer security , geometry , programming language
It is very difficult to obtain information in non-cooperative areas. Error correction coding analysis is one of the key and difficult links. The general analysis is highly demanding and highly dependent on the level of personal analysis. For this reason, we mainly study various deep learning methods, which are applied to scrambling codes, short constraint length convolutional codes, and short constraint length block codes and we also I want to rely on the development of deep learning now, to study and realize intelligence and automated analysis.