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Proceedings Paper

Blind channel identification using lower-order statistics
Author(s): Xinyu Ma; Chrysostomos L. Nikias
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Paper Abstract

Non-Gaussian statistical signal processing is important when the signals deviate from the ideal Gaussian model. One of the most important non-Gaussian distributions is the family of the alpha-stable (0 less than (alpha) less than 2) distributions. They are proven to be effective in modeling the impulsive signal environments both in theory and in practice. This paper presents a brief introduction to the alpha-stable distributions, their applications to signal processing using fractional lower-order statistics, and the alpha-spectrum, a new spectral analysis tool for blind channel identification in impulsive environments.

Paper Details

Date Published: 8 December 1995
PDF: 12 pages
Proc. SPIE 2605, Coding and Signal Processing for Information Storage, (8 December 1995); doi: 10.1117/12.228232
Show Author Affiliations
Xinyu Ma, Univ. of Southern California (United States)
Chrysostomos L. Nikias, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 2605:
Coding and Signal Processing for Information Storage
Raghuveer M. Rao; Soheil A. Dianat; Steven W. McLaughlin; Martin Hassner, Editor(s)

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