• DocumentCode
    2600159
  • Title

    Detecting regularity in minefields and chaotic signals using the empty boxes test

  • Author

    Lake, Douglas E.

  • Author_Institution
    Office of Naval Res., Arlington, VA, USA
  • fYear
    1996
  • fDate
    24-26 Jun 1996
  • Firstpage
    4
  • Lastpage
    7
  • Abstract
    A simple, flexible, and robust procedure to detect regularity in point processes versus the alternative of randomness (i.e., a Poisson point process) is the empty boxes test (EBT). The EBT can be extended to a multivariate statistical test in several ways including an implementation of a skeptical likelihood test (SLT). These approaches have previously been used to detect the regularity of minefields, a two-dimensional point process, where the alternative is termed complete spatial randomness (CSR). These methods are applied to the problem of detecting regularity in chaotic signals such as pseudo-random number generators
  • Keywords
    chaos; random number generation; random processes; signal detection; statistical analysis; stochastic processes; Poisson point process; chaotic signals; complete spatial randomness; empty boxes test; minefields; multivariate statistical test; pseudorandom number generators; randomness; regularity detection; robust procedure; skeptical likelihood test; two-dimensional point process; Chaos; Chaotic communication; Humans; Lakes; Robustness; Safety; Signal generators; Signal processing; Spread spectrum communication; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
  • Conference_Location
    Corfu
  • Print_ISBN
    0-8186-7576-4
  • Type

    conf

  • DOI
    10.1109/SSAP.1996.534806
  • Filename
    534806