Blind Source Separation Based on Borel Measure Peaks
Guo Wen-qiang · Shinjang dashösi ilmiy jurnili · 2006
Stable processes can better model the impulsive random signals and noises in physical observation.This class of process has no close form of probability density function and finite more than second order moments.This paper briefly introduces the statistical characteristics of stable distribution.In this paper,a new method for identifying the independent components of an alpha-stable random vector for under-determined mixtures is proposed.The method is based on an estimate of the discrete spectral measure for the characteristic function of an alpha-stable random vector.Simulations demonstrate that the proposed method can identify independent components and the basis vectors of mixing matrix in the so-called under-determined case of more sources than mixtures.