A Review of Maximum Entropy Spectral Analysis and Applications to Fourier Spectroscopy.

Abstract

There are many situations where a great increase in the resolution of power spectral densities, PSD's, would solve important problems. The problem areas range from radar, speech compression, seismic signal processing, to spectral analysis of optical signals. The maximum entropy method (MEM) can, under certain circumstances, provide an order of magnitude increase in resolution over conventional techniques. The fundamental concepts and mathematical background are given and, most importantly, the peculiarities and new features introduced by the MEM technique are explained. Some signals are good candidates for this technique while others are not; thus, methods are described to distinguish between the two. After the techniques to obtain the MEM-PSD are explained, an application to Fourier Spectroscopy is given to illustrate the results (as compared to conventional means). This review employs certain features to make the MEM approach accessible to those without previous knowledge about it. These features include: a short history of the PSD which describes the evolution over time of the basic concepts; a discussion of the higher principle of maximum entropy in the context of probability theory; a simple introduction to the Z-transform and how it introduces the basic spectral line shape of the MEM-PSD as well as other peculiarities of the method which distinguish it from the conventional approach; the physics behind the reflection coefficients which are introduced by MEM; and an extensive annotated bibliography which should make the literature available.

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Document Details

Document Type
Technical Report
Publication Date
Apr 03, 1985
Accession Number
ADA164698

Entities

People

  • Edmond M. Dewan

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Analytic Functions
  • Computational Science
  • Computers
  • Data Analysis
  • Differential Equations
  • Digital Signal Processing
  • Engineering
  • Equations
  • Fourier Analysis
  • Fourier Series
  • Fourier Spectroscopy
  • Information Theory
  • Signal Processing
  • Spectra
  • Spectral Lines
  • Spectroscopy
  • Theorems

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Nanofabrication and Microfabrication.
  • Theoretical Analysis.