DocumentCode :
703329
Title :
Spectral methods for stationary harmonizable alpha-stable processes
Author :
Tsihrintzis, G.A. ; Tsakalides, P. ; Nikias, C.L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear :
1998
fDate :
8-11 Sept. 1998
Firstpage :
1
Lastpage :
4
Abstract :
We address the problem of estimation of the fractional-power spectrum of certain classes of symmetric, alpha-stable (SαS) processes. We start with a summary of the key definitions and results from the theory of stationary, harmonizable SαS processes and proceed to discuss the performance of fractional-power periodograms. Next, we present a high resolution fractional-power spectrum estimation algorithm that we term "the minimum dispersion distortionless response." The algorithm is a generalization of the classical Maximum Likelihood Method of Capon. Preliminary tests of the algorithms are run on simulated data.
Keywords :
maximum likelihood estimation; signal processing; fractional-power periodograms; high resolution fractional-power spectrum estimation algorithm; maximum likelihood method; modern signal processing algorithms; spectral methods; stationary harmonizable alpha-stable processes; symmetric alpha-stable processes; Algorithm design and analysis; Maximum likelihood estimation; Noise; Signal processing algorithms; Spectral analysis; Impulsive Process; Power-Spectrum Estimation; Symmetric Alpha-Stable Process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
Type :
conf
Filename :
7089800
Link To Document :
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