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Shi, Zhenwei; Tang, Huanwen; Tang, Yiyuan
Pattern recognition letters, 12/2005, Letnik: 26, Številka: 16Journal Article
In this paper, blind source separation is discussed with more sources than mixtures. This blind separation technique assumes a linear mixing model and involves two steps: (1) learning the mixing matrix for the observed data using the sparse mixture model and (2) inferring the sources by solving a linear programming problem after the mixing matrix is estimated. Through the experiments of the speech signals, we demonstrate the efficacy of this proposed approach.
