论文信息 - Independent Component Analysis: A Low-Complexity Technique

Independent Component Analysis: A Low-Complexity Technique

This paper presents a new algorithm to solve the Independent Component Analysis (ICA) problem that has a very low computational complexity. The most remarkable feature of the proposed algorithm is that it does not need to compute higher-order statistics (HOS). In fact, the algorithm is based on trying to guess the sign of the independent components, after which it approximates the rest of the values.

Rubén Martín-Clemente | Susana Hornillo-Mellado | José Luis Camargo-Olivares

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