Constrained Independent Component Analysis Based on Projection Methods
Zhenwei Shi · Yunchou yu guanli · 2004
As an important technique, independent component analysis (ICA) has been widely applied to blind source separation. But ICA has an inherent indeterminacy on dilation and permutation. In this paper, some constraints can be introduced into ICA, then projection methods and Lagrange multiplier methods are used to order the independent components in a specific manner and normalize the demixing matrix in the signal separation procedure. This can systematically eliminate the indeterminacy of ICA on permutation and dilation. The validity of the algorithms are confirmed by the experiments and results.