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Blind extraction using fractional lower-order statistics

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conference contribution
posted on 2009-01-01, 00:00 authored by Zuyuan Yang, G Zhou, S Xie
In traditional method to blindly extract interesting source signals sequentially, the second-order or higher-order statistics of signals are often utilized. However, for impulsive sources, both of the second-order and higher-order statistics may degenerate. Therefore, it is necessary to exploit new method for the blind extraction of impulsive sources. Based on the best compression-reconstruction principle, a novel model is proposed in this work, together with the corresponding algorithm. The proposed method can be used for blind extraction of sources which are distributed from alpha stable process. Simulations are given to illustrate availability and robustness of our algorithm.

History

Pagination

569 - 572

Location

Tianjian, China

Open access

  • Yes

Start date

2009-08-14

ISBN-13

9780769537368

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2009, IEEE

Title of proceedings

ICNC 2009 : Proceedings of the 5th International Conference on Natural Computation

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