A State Space Approach to Periodic Convolutional Codes

نویسندگان

  • Diego Napp Avelli
  • Ricardo Pereira
  • Paula Rocha
چکیده

In this paper we study periodically time-varying convolutional codes by means of input-state-output representations. Using these representations we investigate under which conditions a given time-invariant convolutional code can be transformed into an equivalent periodic time-varying one. The relation between these two classes of convolutional codes is studied for period 2. We illustrate the ideas presented in this paper by constructing a periodic time-varying convolutional code from a time-invariant one. The resulting periodic code has larger free distance than any time-invariant convolutional code with equivalent parameters.

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تاریخ انتشار 2017