Reduction of Error-Trellises for Tail-Biting Convolutional Codes Using Shifted Error-Subsequences

نویسندگان

  • Masato Tajima
  • Koji Okino
  • Tatsuto Murayama
چکیده

In this paper, we discuss the reduction of errortrellises for tail-biting convolutional codes. In the case where some column of a parity-check matrix has a monomial factor D, we show that the associated tail-biting error-trellis can be reduced by cyclically shifting the corresponding error-subsequence by l (i.e., the power of D) time units. We see that the resulting reduced error-trellis is again tail-biting. Moreover, we show that reduction is also possible using backward-shifted error-subsequences.

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عنوان ژورنال:
  • CoRR

دوره abs/1401.2496  شماره 

صفحات  -

تاریخ انتشار 2014