MDP Periodically Time-Varying Convolutional Codes

نویسندگان

  • Ricardo Pereira
  • Paula Rocha
  • Diego Napp
چکیده

In this paper we use some classical ideas from linear systems theory to analyse convolutional codes. In particular, we exploit input-state-output representations of periodic linear systems to study periodically time-varying convolutional codes. In this preliminary work we focus on the column distance of these codes and derive explicit necessary and sufficient conditions for an (n, 2, 1) periodically timevarying convolutional code to have Maximum Distance Profile (MDP).

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تاریخ انتشار 2017