G-Spectral Estimation,

Abstract

The G-Transformation has been shown to be of value in evaluating improper integrals and was especially effective in those cases where the integrand behaved like a linear combination of exponentials with real or complex arguments. These ideas have more recently been utilized to define a spectral estimator referred to as the G-Spectral Estimator. In this paper the nature of the G-transform and G-Spectral estimator are discussed and it is pointed out that such an estimator is most appropriate for processes whose autocorrelations behave as a linear combination of exponentials with real or complex arguments.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA051849

Entities

People

  • H. L. Gray

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autocorrelation
  • Computer Programs
  • Computers
  • Data Science
  • Discrete Fourier Transforms
  • Equations
  • Estimators
  • Information Science
  • Integrals
  • Noise
  • Statistical Analysis
  • Statistics
  • Stochastic Processes
  • White Noise

Readers

  • Approximation Theory.
  • Statistical inference.