Independent Subspace Analysis Is Unique, Given Irreducibility

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Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to ﬁnd a basis in which a given random vector can be decomposed into groups of mutually independent random vectors. Since

Harold W. Gutch, Fabian J. Theis

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ICA 2007 | Independent Subspace Analysis | Random Vectors | Signal Processing |

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Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	ICA
Authors	Harold W. Gutch, Fabian J. Theis

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Independent Subspace Analysis Is Unique, Given Irreducibility

ICA 2007 | Independent Subspace Analysis | Random Vectors | Signal Processing |

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