Autoregressive Methods for Spectral Estimation from Interferograms.

Abstract

This report is an evaluation of an Autoregressive (AR) method of spectral estimation, which has been incorporated into an interactive software package designed specifically for processing interferograms. The evaluation of this method of spectral estimation is based on a comparison of AR spectral estimates with those of a conventional Fourier transform method. The principle conclusions from this evaluation are: 1) that for high SNR this AR method offers significant advantages in resolution of low line density spectra which could permit shortening the interferometer drive length by at least a factor of three, and 2) for high line density spectra and high SNR one may achieve a factor or two over Fourier methods because it is not necessary to apodize the interferogram. keywords: Maximum entropy, Autoregressive interferograms, Fourier.

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Document Details

Document Type
Technical Report
Publication Date
Sep 19, 1986
Accession Number
ADA183676

Entities

People

  • Edward N. Richards
  • Susan H. Delay
  • William F. Grieder

Organizations

  • Utah State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Programs
  • Computers
  • Contracts
  • Data Analysis
  • Data Reduction
  • Decoding
  • Engineering
  • Frequency
  • High Resolution
  • Interferometers
  • Line Spectra
  • Measurement
  • Michelson Interferometers
  • Spectra
  • Spectral Lines

Fields of Study

  • Engineering

Readers

  • Combustion Dynamics and Shock Wave Physics.
  • Statistical inference.
  • Systems Analysis and Design