DocumentCode
1056476
Title
A minimum free-energy hybrid algorithm for 2-D spectral estimation
Author
Cooper, Douglas K. ; Pimbley, Joseph M.
Author_Institution
Dept. of Math. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
42
Issue
3
fYear
1994
fDate
3/1/1994 12:00:00 AM
Firstpage
698
Lastpage
702
Abstract
A separable quasi 2-D spectral estimation algorithm is presented. This hybrid algorithm combines the 1-D minimum free-energy method with the 1-D periodogram. The algorithm reduces to the corresponding maximum entropy hybrid spectral estimator in some cases. The minimum free-energy hybrid algorithm is preferable to the maximum entropy version when the estimated autocorrelation sequence is not extendable or when the signal-to-noise ratio is low. A simulation helps illustrate this point
Keywords
correlation theory; entropy; signal processing; spectral analysis; 1-D minimum free-energy method; 1-D periodogram; 2-D spectral estimation; autocorrelation sequence; low signal-to-noise ratio; maximum entropy hybrid spectral estimator; minimum free-energy hybrid algorithm; simulation; Autocorrelation; Energy resolution; Entropy; Fourier transforms; Geophysics; Multidimensional systems; Radar imaging; Radio astronomy; Signal to noise ratio; Testing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.277870
Filename
277870
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