An Approximate Representation of Heavy-tailed Noise:Bi-parameter Cauchy-Gaussian Mixture Model

摘要：

As a non-Gaussian statistic model,alpha stable distribution has gained much attention due to its generality to represent heavy-tailed and impulsive interference.Unfortunately,there is no closed form expression for the probability density function of alpha-stable distributions.Hereby,finding the approximate expressions is of importance for signal detection and denoising.In this paper,we present a novel approximate expression,which is a simplified version of Cauchy-Gaussian mixture (CGM) for symmetric α-stable (SαS) distribution,called Bi-parameter CGM (BCGM).Such a model has a complete closed-form expression,and hence is more tractable than classical GMM and CGM.

作者: Xutao LI Zetao CHEN Shouyong WANG

作者单位: School of Electronics and Information Engineering,South China University of Technology Key Research Laboratory,Wuhan Radar Institute

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）