• DocumentCode
    406211
  • Title

    Singular signal detection with fractal

  • Author

    Xiaofei, Zhang ; Dazhuan, Xu

  • Author_Institution
    Dept. Electron. Eng., Nanjing Univ. of Aeronaut. & Astronaut., China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    608
  • Abstract
    Singularities and irregular structures often carry the most important information in signals. The method of singular signal detection based on fractal technique is presented at the beginning of this paper. Mathematics model of singular signal is expressed with local Lipschitz exponent. The characteristics of singular signal and the principle of this detection method are introduced; and the algorithm of this detection method is discussed in detail. According to short-duration grille fractal dimension of signal, information like the start-time and end-time of singular signal can be obtained. The experimental results verify that the method can detect singular signals in the electrical power system accurately. Finally this detection method with fractal is no more complex and can be implemented easily.
  • Keywords
    fractals; mathematical analysis; power systems; signal detection; electrical power system; fractal technique; local Lipschitz exponent; short-duration grille fractal dimension; singular signal detection; Fourier transforms; Fractals; Image recognition; Mathematical model; Mathematics; Power system modeling; Power systems; Radar detection; Radar imaging; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279347
  • Filename
    1279347