Accession Number : ADA191273

Title :   Multichannel 2-D Power Spectral Estimation and Applications.

Descriptive Note : Doctoral thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : El-Shaer, Hamdy T

PDF Url : ADA191273

Report Date : Dec 1987

Pagination or Media Count : 304

Abstract : Spectral estimation for multiple 2-D signals by model-based methods is developed. The procedures compute the entire spectral matrix of autospectra and cross spectra for the set of 2-D signals. Spectral analysis by autoregressive (AR) modeling is studied extensively. Specific differences between AR models for this problem and those for lower dimensional problems are highlighted. An extension of the Jackson-Chien method for combining estimates with single quadrant support is proposed and a method is developed for estimating the model parameters directly from the data (i.e. without prior estimation of a correlation matrix). A measure of the similarity of two spectral estimates based on the statistical divergence is proposed and used to compare various spectral estimates. Keywords: Signal modeling, Linear prediction, Image coding, Maximum likelihood method, Spectral estimation.

Descriptors :   *CODING, *ESTIMATES, *IMAGES, *MAXIMUM LIKELIHOOD ESTIMATION, *MODELS, *PREDICTIONS, *SIGNALS, *SPECTRUM ANALYSIS, LINEAR SYSTEMS, QUADRANTS, SIZES(DIMENSIONS), SPECTRA

Subject Categories : Statistics and Probability
      Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE