Geometric overcomplete ICA
نویسندگان
چکیده
In independent component analysis (ICA), given some signal input the goal is to find an independent decomposition. We present an algorithm based on geometric considerations [11] to decompose a linear mixture of more sources than sensor signals. We present an efficient method for the matrix-recovery step in the framework of a two-step approach to the source separation problem. The second step — sourcerecovery — uses the standard maximum-likelihood approach.
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