Independent dynamics subspace analysis

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.

• Type: Conference
• Year: 2006
• Where: ESANN
• Authors: Alexander Ilin
• Keywords: ESANN 2006, ESANN 2007, Nonlinear Autoregressive Model, Source Dynamics, Subspace Analysis Model