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Blind source separation (BSS) is a method for recovering a set of statistically independent signals from the observation of their mixtures without any prior knowledge about the mixing process. If, as a special case, only one source component is to be extracted, it is called blind source extraction (BSE). Since BSE involves a smaller number of parameters to be estimated than BSS, it requires less computation time. In this paper we propose a new algorithm for BSE of the convolutive mixture. Thedoi:10.9746/jcmsi.2.192 fatcat:2i5kwwgdw5ehhee3x57q3syeoq