DocumentCode
2026420
Title
A recursive weighted minimum norm algorithm: Analysis and applications
Author
Gorodnitsky, Irina F. ; Rao, Bhaskar D.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of California at San Diego, La Jolla, CA, USA
Volume
3
fYear
1993
fDate
27-30 April 1993
Firstpage
456
Abstract
Reliable estimation of a highly localized signal from insufficient data is a difficult problem common to many fields. The authors present an iterative weighted norm minimization method that utilizes a posteriori constraints for the estimation of such signals. Analysis is performed to determine the convergence properties and characterize the solutions of the algorithm. The advantages and applications of the approach and the new algorithm are demonstrated using electromagnetic imaging and direction-of-arrival (DOA) estimation problems.<>
Keywords
constraint theory; convergence of numerical methods; iterative methods; minimisation; recursive functions; signal processing; convergence; direction-of-arrival estimation; electromagnetic imaging; iterative weighted norm minimization; recursive weighted minimum norm algorithm; solutions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319533
Filename
319533
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