Blind channel identification using lower-order statistics

Xinyu Ma; Chrysostomos L. Nikias

doi:10.1117/12.228232

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8 December 1995 Blind channel identification using lower-order statistics

Xinyu Ma; Chrysostomos L. Nikias

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Proceedings Volume 2605, Coding and Signal Processing for Information Storage; (1995) https://doi.org/10.1117/12.228232
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

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Xinyu Ma and Chrysostomos L. Nikias "Blind channel identification using lower-order statistics", Proc. SPIE 2605, Coding and Signal Processing for Information Storage, (8 December 1995); doi: 10.1117/12.228232; https://doi.org/10.1117/12.228232

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