• DocumentCode
    2966087
  • Title

    Autocorrelation Algorithm to Evaluate Minimum Periodicity of Digital Sequence

  • Author

    Shuai, Chen ; Renyi, Shu

  • Author_Institution
    Dept. of Comput. & Electron., Huainan Normal Univ., Huainan, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    961
  • Lastpage
    963
  • Abstract
    In order to analyze sequences, the minimum periodicity of sequences may be calculated. According to the relation of the sequence with its autocorrelation, an algorithm was brought forward. The periodicity of autocorrelation is equal to the periodicity of the digital sequence. The minimum periodicity of autocorrelation sequence is the position difference between the top apex with the second apex of the unitary autocorrelation excluding direct component. The algorithm principle was introduced and applications were afforded to verify the method. The result shows that the method was right to evaluate minimum periodicity of sequences successfully. The algorithm is helpful to analyze the periodicity of digital sequence.
  • Keywords
    random sequences; signal processing; time series; autocorrelation algorithm; digital sequence; minimum periodicity evaluation; unitary autocorrelation; Algorithm design and analysis; Correlation; Entropy; Random sequences; Time series analysis; Water resources; algorithm; apex; autocorrelation; digital sequence; periodicity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.526
  • Filename
    5751051