Mathematics

Research from Sejong University Broadens Understanding of Signal Processing

  2012 APR 17 - (VerticalNews.com) -- "In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density function matching method and a set of Dirac-delta functions," scientists writing in the Journal of Communications and Networks report.

  "Gaussian kernel of the proposed blind algorithm has the effect of cutting out the outliers on the difference between the desired level values and impulse-infected outputs. And also the proposed algorithm has relatively less sensitivity to channel eigenvalue ratio and has reduced computational complexity compared to the recently introduced correntropy algorithm," wrote N. Kim and colleagues, Sejong University.

  The researchers concluded: "According to these characteristics, simulation results show that the proposed blind algorithm produces superior performance in multi-path communication channels corrupted with impulsive noise."

  Kim and colleagues published their study in the Journal of Communications and Networks (Blind Signal Processing for Impulsive Noise Channels. Journal of Communications and Networks, 2012;14(1):27-33).

  Additional information can be obtained by contacting N. Kim, Sejong University, Dept. of Internet Engn, Seoul, South Korea.

  The publisher of the Journal of Communications and Networks can be contacted at: Korean Inst Communications Sciences (K I C S), Hyundai Kirim Officetel 1504-6 Seochodong 1330-18, Seochoku, Seoul 137-070, South Korea.

  Keywords: City:Seoul, Country:South Korea, Region:Asia, Electronics

  This article was prepared by VerticalNews Mathematics editors from staff and other reports. Copyright 2012, VerticalNews Mathematics via VerticalNews.com.