Autoregressive Spectral Estimation.

Abstract

Autoregressive spectral estimation is one of the new techniques for spectral analysis developed in the last two decades. Its theory and applications are extremely extensive. This article aims to provide an overview (rather than a detailed account) of the main ideas. A comprehensive bibliography guides the reader to articles in which case studies and comparisons of autoregressive spectral estimators are described. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA117266

Entities

People

  • Emanuel Parzen

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Analysis
  • Data Science
  • Estimators
  • Information Science
  • Information Theory
  • Multivariate Analysis
  • New York
  • Optimal Estimators
  • Power Spectra
  • Probability
  • Random Variables
  • Spectra
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistics

Readers

  • Library and Information Science
  • Statistical inference.
  • Systems Analysis and Design