On the score functions of the two-sample locally optimum rank test statistic for random signals in additive noise

  • Authors:
  • Sun Yong Kim;Iickho Song

  • Affiliations:
  • Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon;-

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 1995

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Abstract

The test statistic of the two-sample locally optimum rank detector is derived for weak random signals in additive noise. It is shown that the two-sample locally optimum rank detector for random signals has interesting similarities to the one-sample locally optimum rank detector for random signals. The detector may also be viewed as a generalization of the two-sample locally optimum rank detector for known signals. Some examples and properties of the score functions constituting the locally optimum rank test statistic are investigated