A New Algorithm for Two-Dimensional Maximum Entropy Power Spectrum Estimation.

Abstract

A new iterative algorithm for the maximum entropy power spectrum estimation is presented in this report. The algorithm, which is applicable to two-dimensional signals as well as one-dimensional signals, utilizes the computational efficiency of the Fast Fourier Transform (FFT) algorithm and has been empirically observed to solve the maximum entropy power spectrum estimation problem. Examples are shown to illustrate the performance of the new algorithm. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 07, 1980
Accession Number
ADA092128

Entities

People

  • Jae S. Lim
  • Naveed A. Malik

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Astronomy
  • Coefficients
  • Digital Signal Processing
  • Discrete Fourier Transforms
  • Efficiency
  • Equations
  • Fast Fourier Transforms
  • High Resolution
  • Image Processing
  • Image Reconstruction
  • Image Restoration
  • Power Series
  • Power Spectra
  • Signal Processing
  • Spectra
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Statistical inference.