Discrete-time signal processing

This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014. There are 4 columns in the file, which represent viewer ID, the current channel number, the next channel number, the date of the month, respectively. The first column, the ID code of a viewer, ranks in descent with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

 

 

 

 

291 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014.

    There are 4 columns in the file, which represent viewer ID, the current channel number, th next channel number, the date of the month, respectively.

    The first column, the ID code of a viewter, ranks with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger

    the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

     

     

     

     

    69 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

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