Analysis of Temporal Symmetry in Non-Gaussian Random Fields

Abstract

The goal of the proposed work was to determine if the temporal asymmetry of signals could be exploited by signal processing algorithms. We specifically intended to specify the kinds of dependence structures having physical basis (rather than those chosen for the modeler's convenience) and to develop detection or estimation algorithms sensitive to these structures that yielded signal processing gains

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Document Details

Document Type
Technical Report
Publication Date
Jun 22, 1993
Accession Number
ADA266496

Entities

People

  • Don H. Johnson

Organizations

  • Rice University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Science
  • Detectors
  • Equations
  • Estimators
  • Gaussian Processes
  • Information Processing
  • Information Science
  • Linear Systems
  • Markov Processes
  • New York
  • Nonlinear Dynamics
  • Random Variables
  • Signal Processing
  • Stationary Processes
  • Statistical Algorithms
  • Stochastic Processes

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  • Computational Modeling and Simulation
  • Statistical inference.