A Foundation for Logarithmic Measures of Fluctuating Intensity in Pattern Recognition

Abstract

Independent analyses using Fisher information, optimal filtering, and information theory show that matched filtering images with hypothetical patterns in the logarithmic domain provides an optimal method for pattern recognition in the presence of signal-dependent noise arising from complex Gaussian fluctuations in the received fields. This provides a mathematical justification for the use of logarithmic units (i.e., decibels) in a variety of engineering applications.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1995
Accession Number
ADA634327

Entities

People

  • Nicholas C. Makris

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Artificial Intelligence
  • Bandwidth
  • Computer Vision
  • Engineering
  • Filters
  • Filtration
  • Information Theory
  • Intensity
  • Matched Filters
  • Measurement
  • Military Research
  • Noise
  • Object Recognition
  • Pattern Recognition
  • Probability
  • Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Radar Systems Engineering.

Technology Areas

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