Application of Linear Prediction to Multiclass Sequential Discrimination.

Abstract

A linear predictive form of classifier is described for the sequential discrimination of target signatures. The classifier implements a Generalized Sequential Probability Ratio Test (GSPRT) which allows for multiple classes of target signatures. Forms of the classifier for both noncoherent and coherent signatures are described. Flow charts are included for convenience of implementation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 19, 1979
Accession Number
ADA084272

Entities

People

  • Charles W. Therrien

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Covariance
  • Data Science
  • Detectors
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Filters
  • Gaussian Processes
  • Hypotheses
  • Information Science
  • Machine Learning
  • Optical Detectors
  • Probability
  • Radar
  • Target Signatures

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.
  • Statistical inference.