Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network
Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network
About this item
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Author / Creator
Xu, Lu , Ma, Yixin , Shi, Rui , Li, Juanjuan and Zhang, Yijia
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Contents
The accurate identification of channel-coding types plays a crucial role in wireless communication systems. The recognition of convolutional codes presents challenges, primarily due to their strong temporal dependencies, varying constraint lengths, and additional contamination from noise. However, existing algorithms often rely on manual feature ex...
Alternative Titles
Full title
Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ebdce971deca4871a8fc9698bdd93dce
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebdce971deca4871a8fc9698bdd93dce
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25041000
