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EINSim v1.0.0 + Full-Size Dataset
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@mpatelh mpatelh released this 11 May 05:48
full-size-dataset-v1.0
644804a

This release contains the full-size simulation dataset that we use in our DSN 2019 paper. It consists of a tarball containing the following files:

  • BCH_0xFF_T1.xz (11.50 MiB)
  • BCH_0xFF_T2.xz (13.03 MiB)
  • BCH_0xFF_T3.xz (13.68 MiB)
  • BCH_RANDOM_T1.xz (9.34 MiB)
  • BCH_RANDOM_T2.xz (9.93 MiB)
  • BCH_RANDOM_T3.xz (10.09 MiB)
  • HSC_0xFF_T1.xz (12.35 MiB)
  • HSC_RANDOM_T1.xz (9.36 MiB)
  • REP_0xFF_T1.xz (12.02 MiB)
  • REP_0xFF_T2.xz (13.85 MiB)
  • REP_0xFF_T3.xz (16.09 MiB)
  • REP_RANDOM_T1.xz (10.62 MiB)
  • REP_RANDOM_T2.xz (13.00 MiB)
  • REP_RANDOM_T3.xz (15.36 MiB)

These datasets comprise 980000 simulated models that are generated as a cross-product of the following parameters:

  • RBERs from 0.0 to 0.2 in 10000 steps
  • RANDOM and 0xFF data patterns
  • Four different 'p' {0, 1, 2, 3} (aggregated)
  • ECC schemes: Hamming (d = 3), BCH (d = 3, 5, 7), Repetition (d = 3, 5, 7)
  • Data-word lengths: {4, 8, 16, 32, 64, 128, 256} (note: BCH simulations are output with non-truncated lengths)
  • Burst length: 256
  • Uniform-random error distribution
  • Bursts that are entirely either true-cells or anti-cells with 50% probability
Assets 3
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