DocumentCode
2437507
Title
Primal-dual method for robust spectral estimation of complex valued sequences
Author
Day, Donald
Author_Institution
Johns Hopkins Univ. Appl. Phys. Lab., Laurel, MD, USA
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
91
Lastpage
93
Abstract
A primal-dual method for estimating the spectrum of a complex sequence is provided that minimizes the lp norm of the complex spectrum for 1<p<2 via solution of the dual problem in complex space. This provides reduced spectral leakage, enhanced spectral resolution, and robustness to missing data samples when compared to the minimum l2 norm spectral estimate. The optimization of the dual problem converges quickly in a small number of gradient search steps, providing solutions to large problems in very short time. Examples are provided that demonstrate the narrow, spiky nature of the spectrum, the reduced spectral leakage, and robustness to unevenly sampled data.
Keywords
gradient methods; sequences; signal sampling; complex valued sequences; gradient search steps; missing data sample; primal dual method; robust spectral estimation; spectral leakage; spectral resolution; Convergence; Gradient methods; Laboratories; Minimization methods; Null space; Physics; Robustness; Signal resolution; Signal sampling; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-5825-7
Type
conf
DOI
10.1109/ACSSC.2009.5470164
Filename
5470164
Link To Document