首页> 外文期刊>IEEE Transactions on Information Theory >BEAST decoding of block codes obtained via convolutional codes
【24h】

BEAST decoding of block codes obtained via convolutional codes

机译:通过卷积码对块码进行BEAST解码

获取原文
获取原文并翻译 | 示例
           

摘要

BEAST is a bidirectional efficient algorithm for searching trees. In this correspondence, BEAST is extended to maximum-likelihood (ML) decoding of block codes obtained via convolutional codes. First it is shown by simulations that the decoding complexity of BEAST is significantly less than that of the Viterbi algorithm. Then asymptotic upper bounds on the BEAST decoding complexity for three important ensembles of codes are derived. They verify BEAST's high efficiency compared to other algorithms. For high rates, the new asymptotic bound for the best ensemble is in fact better than previously known bounds.
机译:BEAST是用于搜索树的双向高效算法。在这种对应关系中,BEAST扩展为通过卷积码获得的分组码的最大似然(ML)解码。首先,通过仿真显示,BEAST的解码复杂度明显小于Viterbi算法。然后推导了三个重要代码合集的BEAST解码复杂度的渐近上限。他们证明了BEAST与其他算法相比的高效率。对于高速率,最佳合奏的新渐近界线实际上比以前已知的界线更好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号