Accession Number:

ADD020117

Title:

Detection of Randomness in Sparse Data Set of Three Dimensional Time Series Distributions

Descriptive Note:

Patent application, Filed 6 Oct 2003

Corporate Author:

DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s):

Report Date:

2003-10-06

Pagination or Media Count:

41.0

Abstract:

A two-stage method is provided for automatically characterizing the spatial arrangement among data points of a three-dimensional time series distribution in a data processing system wherein the classification of said time series distribution is required. The two-stage method utilizes Cartesian grids to determine the following 1 the number of cubes in the grids containing at least one input data point of the time series distribution, 2 the expected number of cubes that would contain at least one data point in a statistically determined random distribution in said grids, and 3 an upper and lower probability of false alarm above and below said expected value utilizing a second discrete probability relationship to analyze the randomness characteristic of the input time series distribution. 5 figures

Subject Categories:

  • Numerical Mathematics
  • Statistics and Probability
  • Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE