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Bounded Component Analysis (BCA) is a recent concept proposed as an alternative method for Blind Source Separation problem. BCA enables the separation of dependent as well as independent sources from their mixtures under the practical assumption on source boundedness. This article extends the optimization setting of a recent BCA approach which can be used to produce a variety of BCA algorithms. The...
We consider the problem of non-orthogonal joint diagonalization of a set of real-valued third-order tensors. This appears in many signal processing problems and it is instrumental in source separation. We propose a new Jacobi-like algorithm based on a special parameterization of the so-called diagonalizing matrix. One important point is that each Jacobi estimation parameters is done entirely analytically...
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