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    <identifier>10.57760/sciencedb.space.00848</identifier>
    <datestamp>2023-07-24T09:28:32Z</datestamp>
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  <dc:date>2023-07-24</dc:date>
  <dc:title>RML2016.10a and RML2016.10b - slicing window processing</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.space.00848</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset is obtained by sliding window operations on the public datasets RML2016.10a and RML2016.10b.&amp;nbsp;The sliding window size is 16, with a step size of 8.&amp;nbsp;Reorganize the Subsequence behind the sliding window into a signal sequence matrix.</dc:description>
  <dc:subject> deep learning; modulation classification dataset; data preprocessing</dc:subject>
  <dc:creator>wang dong</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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