DocumentCode
966892
Title
Multidimensional spectral estimation
Author
McClellan, James H.
Author_Institution
Schlumberger Well Services, Austin, TX
Volume
70
Issue
9
fYear
1982
Firstpage
1029
Lastpage
1039
Abstract
Methods of multidimensional power spectral estimation are reviewed. Seven types of estimators are discussed: Fourier, separable, data extension, MLM, MEM, AR, and Pisarenko estimators. Particular emphasis is given to MEM where current research is quite active. Theoretical developments are reviewed and computational algorithms are discussed.
Keywords
Discrete Fourier transforms; Geophysics computing; Helium; Multidimensional systems; Radar; Radio astronomy; Random processes; Sonar; Spectral analysis; State estimation;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1982.12431
Filename
1456699
Link To Document