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- W2371468051 abstract "This paper proposes a fourth order cunmulant of tensor decomposition method to solve the problem for blind identification of underdetermined separation. First,the fourth order cumulant of covariance is constructed based on observe signals. By assuming that the source signals are independent,and are of zero mean,the hierarchical alternating least squares method is used to decompose fourth order cumulant of tensor into the nonnegative Tucker. Then,the mixture matrix is acquired by the parameters of nonnegative Tucker model. The source is also acquired by solving the pseudo-inverse of mixture matrix. Finally,by using the speech signals and the biomedical signals,tw o numerical examples are conducted to demonstrate the effectiveness of the proposed method." @default.
- W2371468051 created "2016-06-24" @default.
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- W2371468051 date "2014-01-01" @default.
- W2371468051 modified "2023-09-23" @default.
- W2371468051 title "Fourth-Order Cumulant of Tensor Decomposition Method for Blind Identification of Underdetermined Separation" @default.
- W2371468051 hasPublicationYear "2014" @default.
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