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ICA
2010
Springer

Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization

9 years 8 days ago
Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization
Abstract. In this paper, we consider the Independent Component Analysis problem when the hidden sources are non-negative (Non-negative ICA). This problem is formulated as a non-linear cost function optimization over the special orthogonal matrix group SO(n). Using Givens rotations and Newton optimization, we developed an effective axis pair rotation method for Non-negative ICA. The performance of the proposed method is compared to those designed by Plumbley and simulations on synthetic data show the efficiency of the proposed algorithm. Key words: Non-negative ICA, Givens rotations, Newton optimization, Complexity calculation
Wendyam Serge Boris Ouedraogo, Antoine Souloumiac,
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where ICA
Authors Wendyam Serge Boris Ouedraogo, Antoine Souloumiac, Christian Jutten
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