Multi-Stage Planar Stochastic Mensuration

Abstract

The method comprises reading a data set comprising a sparse number of data points and applying multiple tests wherein the results are evaluated by a decision module to determine whether to classify the data as random or nonrandom. In one preferred embodiment, if any one test determines the data is nonrandom, then the data is labeled nonrandom. The data is labeled and stored prior to beginning the method once again for the next set of data.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADD020146

Entities

People

  • Francis O'brien

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

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  • Attorneys
  • Data Processing
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  • Databases
  • Detection
  • Detectors
  • Digital Data
  • False Alarms
  • Grids
  • Information Processing
  • Information Science
  • Mathematical Models
  • Probability
  • Probability Distributions
  • Signal Processing
  • Sonar Signals
  • United States

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  • Atmospheric Science/Meteorology
  • Geodesy
  • Neural Network Machine Learning.