Distance Spectrum of Channel Trellis Codes on Precoded Partial-response 1-d Channel

نویسندگان

  • Miroslav Despotović
  • Vojin Šenk
چکیده

Distance spectrum is the main factor in determining the event error probability when maximum-likelihood decoding is used for convolutional codes [13]. In this paper we compute the distance spectrum for the best R=1/N channel codes obtained using convolutional (linear trellis) codes together with known offset sequence addition on precoded partial-response 1−D channel proposed in [4]. To this end we have modified the BIFAST algorithm [11] in order to enable the distance spectrum evaluation in the supper-trellis [1], a technique necessary for this type of channel codes.

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تاریخ انتشار 2011