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  • 标题:Research on Block-Based Blind Identification of High-rate Punctured Convolutional Codes
  • 本地全文:下载
  • 作者:Hua Yan ; Ying Huang ; Baoguo Li
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:176
  • DOI:10.1051/matecconf/201817601037
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Aiming at the large amount of memory in high bit rate punctured convolutional codes, a soft recognition algorithm based on block Hadamard matrix (B-SWHT) is proposed. By using the idea of block Hadamard matrix operation, the soft WHT algorithm with excellent fault-tolerance performance is applied to the recognition of high-rate punctured convolutional codes. The simulation experiments show that the algorithm can effectively reduce the memory required for the recognition of high-rate punctured convolutional codes while maintaining high fault-tolerance performance. This paper provides a feasible solution for the identification of high bit rate punctured convolutional codes.
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