A FastICA Algorithm for Non-negative Independent Component Analysis

@inproceedings{Yuan2004AFA,
  title={A FastICA Algorithm for Non-negative Independent Component Analysis},
  author={Zhijian Yuan and Erkki Oja},
  booktitle={ICA},
  year={2004}
}
The non-negative ICA problem is here defined by the constraint that the sources are non-negative with probability one. This case occurs in many practical applications like spectral or image analysis. It has then been shown by [10] that there is a straightforward way to find the sources: if one whitens the non-zero-mean observations and makes a rotation to positive factors, then these must be the original sources. A fast algorithm, resembling the FastICA method, is suggested here, rigorously… CONTINUE READING

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