title: A parallel dual matrix method for blind signal separation.
abstract: A parallel dual matrix method that considers all cases of numerical relations between a mixing matrix and a separating matrix is proposed in this letter. Different constrained terms are used to construct cost function for every subalgorithm. These constrained terms reflect numerical relation. Therefore, a number of undesired solutions are excluded, the search region is reduced, and the convergence efficiency of the algorithm is ultimately improved. Moreover, any parallel subalgorithm is proven to converge to a desired separating matrix only if its cost function converges to zero. Computer simulations indicate that the algorithm efficiently performs blind signal separation.
authors: School of Information Science and Technology of Southwest Jiaotong, Chengdu, 610031, China zengtiaojun@gmail.com.
authors: T J
authors: TJ
authors: Zeng
authors: Q Y
authors: QY
authors: Feng