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Accession Number:
ADA191273
Title:
Multichannel 2-D Power Spectral Estimation and Applications.
Corporate Author:
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Report Date:
1987-12-01
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.
Descriptive Note:
Doctoral thesis,
Supplementary Note:
Original contains color plates: All DTIC and NTIS reproductions will be in black and white.
Pages:
0304
File Size:
11.87MB