DocumentCode
1417844
Title
Highlights of statistical signal and array processing
Author
Hero, Alfred ; Messer, Hagit ; Goldberg, Jay ; Thomson, David J. ; Amin, Moeness G. ; Giannakis, Georgios B. ; Swami, Ananthram ; Tugnait, Jitendra K. ; Nehorai, Arye ; Swindlehurst, A.L. ; Cardoso, Jean-Francois ; Lang Tong ; Krolik, Jeffrey
Author_Institution
Michigan Univ., MI
Volume
15
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
21
Lastpage
64
Abstract
The Statistical Signal and Array Processing Technical Committee (SSAP-TC) deals with signals that are random and processes an array of signals simultaneously. The field of SSAP represents both solid theory and practical applications. Starting with research in spectrum estimation and statistical modeling, study in this field is always full of elegant mathematical tools such as statistical analysis and matrix theory. The area of statistical signal processing expands into estimation and detection algorithms, time-frequency domain analysis, system identification, and channel modeling and equalization. The area of array signal processing also extends into multichannel filtering, source localization and separation, and so on. This article represents an endeavor by the members of the SSAT-TC to review all the significant developments in the field of SSAP. To provide readers with pointers for further study of the field, this article includes a very impressive bibliography-close to 500 references are cited. This is just one of the indications that the field of statistical signals has been an extremely active one in the signal processing community. The article also introduces the recent reorganization of three technical committees of the Signal Processing Society
Keywords
array signal processing; parameter estimation; reviews; signal detection; spectral analysis; statistical analysis; time-frequency analysis; array signal processing; channel modeling; detection algorithms; equalization; estimation algorithms; matrix theory; multichannel filtering; random signals; review; source localization; source separation; spectrum estimation; statistical analysis; statistical modeling; statistical signal processing; statistical signals; system identification; time-frequency domain analysis; Array signal processing; Detection algorithms; Mathematical model; Signal analysis; Signal processing; Signal processing algorithms; Solids; Spectral analysis; Statistical analysis; Time frequency analysis;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/79.708539
Filename
708539
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