Method for Sparse Data Two-Stage Stochastic Mensuration

Abstract

A method is provided for characterizing sparse data as either signal or noise. In one embodiment, a two-dimensional area which contains a distribution of data points-of the sparse data from a selected time period is divided into equal size cells - wherein each cell has an expectation of containing at least one data sample. Based on the expected proportion of a plurality cells which will be nonempty in a random distribution, a Poisson distribution or a Binomial distribution is utilized to determine a data sample mean. A probability of a false signal is determined from the number of cells utilized. - A probability is also computed from the sample mean and compared to the probability of a false signal to determine whether to characterize the sparse data as signal or noise.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADD020148

Entities

People

  • Francis J. O'brien

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Binomials
  • Cartesian Coordinates
  • Data Processing
  • Data Sets
  • False Alarms
  • Grids
  • Information Processing
  • Mathematical Analysis
  • Mathematics
  • Measurement
  • Operating Systems
  • Polynomials
  • Probability
  • Probability Distributions
  • Random Variables
  • Undersea Warfare
  • White Noise

Readers

  • Phased Array Antenna Design.
  • Regression Analysis.
  • Statistical inference.