Research on Blind Signal Extraction Based on Normalized Kurtosis

Yong Jian Zhao

doi:10.4028/www.scientific.net/AMR.989-994.3609

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Research on Blind Signal Extraction Based on...

Research on Blind Signal Extraction Based on Normalized Kurtosis

Abstract:

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3609-3612

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3609

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Online since:

July 2014

Authors:

Yong Jian Zhao*

Keywords:

Independence, Information, Kurtosis, Signal, Source

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* - Corresponding Author

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