34637588
所属分类:数学计算
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mirfarid
说明: Given an instantaneous mixture of some source signals, the
blind signal separation (BSS) problem consists of the identification of
both the mixing matrix and the original sources. By itself, it is a non-
unique matrix factorization problem, while unique solutions can be ob-
tained by imposing additional assumptions such as statistical indepen-
dence. By mapping the matrix data to a tensor and by using tensor
decompositions afterwards, uniqueness is ensured under certain condi-
tions. Tensor decompositions have been studied thoroughly in literature.
We discuss the matrix to tensor step and present tensorization as an
important concept on itself, illustrated by a number of stochastic and
deterministic tensorization techniques.
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34637588.pdf (334305, 2020-02-07)
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