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16

ESANN
2006

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Independent dynamics subspace analysis

13 years 5 months ago

Independent dynamics subspace analysis

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Abstract. The paper presents an algorithm for identifying the independent subspace analysis model based on source dynamics. We propose to separate subspaces by decoupling their dynamic models. Each subspace is extracted by minimizing the prediction error given by a first-order nonlinear autoregressive model. The learning rules are derived from a cost function and implemented in the framework of denoising source separation.

Alexander Ilin

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ESANN 2006 | ESANN 2007 | Nonlinear Autoregressive Model | Source Dynamics | Subspace Analysis Model |

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2006
Where	ESANN
Authors	Alexander Ilin

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