DocumentCode
2257447
Title
Blind identification in non-Gaussian impulsive environments
Author
Ma, Xinyu ; Nikias, Chrysostomos L.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1995
fDate
17-22 Sep 1995
Firstpage
113
Abstract
A new algorithm is proposed for blind channel identification in the impulsive signal environments, where the signals are modeled as symmetric α-stable processes. The alpha-spectrum, a new spectral representation based on fractional lower-order moments, is developed. Conditions for blind identifiability of any FIR channel (non-minimum phase, unknown order) are established using the properties of the alpha-spectrum
Keywords
covariance analysis; identification; signal representation; spectral analysis; telecommunication channels; FIR channel; algorithm; alpha-spectrum; blind identification; fractional lower-order moments; impulsive signal environments; nonGaussian impulsive environments; nonminimum phase; spectral representation; symmetric α-stable processes; Contracts; Finite impulse response filter; Higher order statistics; Image processing; Limiting; Probability distribution; Random variables; Robustness; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location
Whistler, BC
Print_ISBN
0-7803-2453-6
Type
conf
DOI
10.1109/ISIT.1995.531317
Filename
531317
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