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 :
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