Resistive Grid Kernel Estimator (RGKE)

Abstract

The ability to estimate a probability density function from random data has applications in discriminant analysis and pattern recognition problems. A resistive grid kernel estimator (RGKE) is described that is suitable for hardware implementation. The one-dimensional linear RGKE is compared to a kernel estimate using Gaussian kernels, and simulations are presented using both continuous and quantized data. The nonlinear form of the RGKE is shown to have desirable properties, such as the ability to detect discontinuities in the density function.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA253520

Entities

People

  • Carey E. Priebe
  • George Rogers
  • Jeffrey Solka
  • Wendy Poston

Organizations

  • Naval Surface Warfare Center

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Discontinuities
  • Discriminant Analysis
  • Equations
  • Estimators
  • Grids
  • Histograms
  • Military Research
  • National Security
  • Neural Networks
  • Normal Distribution
  • Pattern Recognition
  • Probability
  • Probability Density Functions
  • Surface Warfare

Readers

  • Computer Vision.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms