NDLI: Representation of the Middleton class B model by symmetric alpha-stable processes and chi-distributions

Content Provider	IEEE Xplore Digital Library
Author	Yongsub Kim Tong Zhou, G.
Copyright Year	1998
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Yongsub Kim)
Abstract	Signal processing in non-Gaussian noise environments has attracted much attention recently, due to the poor performance of conventional systems based on the Gaussian assumption. The Middleton class B model has been shown in the literature as an appropriate model to describe certain non-Gaussian interference phenomena. However, its use is often limited because the probability density function has a very complicated form. We derive a mixture representation for the Middleton class B model where the density function is expressed as a weighted sum of chi-distributions with positive and monotonically decreasing coefficients. Therefore, the user can chose a finite linear combination of these simple distributions to approximate the Middleton class B density function to any desirable accuracy. The results presented help to extend the applicability of the Middleton class B model in practice.
Starting Page	180
Ending Page	183
File Size	333301
Page Count	4
File Format	PDF
ISBN	0780343255
DOI	10.1109/ICOSP.1998.770179
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Density functional theory Probability density function Signal processing Tail Appropriate technology Electronic mail Gaussian noise Working environment noise Parametric statistics
Content Type	Text
Resource Type	Article

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