High Resolution Spectral Estimates

Abstract

The Maximum Likelihood Method and the Maximum Entropy Method of spectral estimation are described and interpreted in terms of the innovation filter concept. Algorithms are developed for mapping an observed data sequence into the spectral estimates. The resolution performance of these spectral estimation algorithms is compared by applying each to simulated data containing two tones in white noise.

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Document Details

Document Type
Technical Report
Publication Date
Jan 21, 1975
Accession Number
ADA006406

Entities

People

  • Leroy C. Pusey

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Bandwidth
  • Computations
  • Covariance
  • Equations
  • Filters
  • Frequency
  • High Resolution
  • Integral Equations
  • Integrals
  • Noise
  • Sequences
  • Standards
  • Two Dimensional
  • White Noise

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Spectroscopy.
  • Statistical inference.