This paper introduces a method of blind separation which extracts impulsive sources from their instantaneous mixtures. The "heavy-tailed", or "impulsive" signals are characterized by the nonexistence of the finite second (or higher) order moments. Such signals can be modeled by real-valued symmetric alpha-stable (SaS) processes. A novel blind source separation (BSS) algorithm for extracting "impulsive" source signals from their observed mixtures is presented. This algorithm is based on the minimum dispersion criterion. A new whitening procedure by the normalized covariance matrix is introduced and used as the first step of the algorithm. Some computer simulations are presented illustrating the performances of proposed method.
Blind separation of instantaneous mixtures of impulsive stable sources
01.01.2003
333098 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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