Blind Source Separation Methods for Tensor-Valued Observations

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Description

Contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: ‘tPCA’, ‘tFOBI’, ‘tJADE’, ‘tgFOBI’, ‘tgJADE’ and ‘tSOBI’.

Details

Package: tensorBSS
Type: Package
Version: 0.2
Date: 2016-08-25
License: GPL (>= 2)

Author(s)

Joni Virta, Bing Li, Klaus Nordhausen and Hannu Oja

Maintainer: Joni Virta <jomivi@utu.fi>

References

Virta, J., Li, B., Nordhausen, K. and Oja, H., (2016), Independent component analysis for tensor-valued data, submitted, ???, ???–???. Preprint available on ArXiv http://arxiv.org/abs/1602.00879.

Virta, J., Li, B., Nordhausen, K. and Oja, H., (2016), JADE for Tensor-Valued Observation, submitted, ???, ???–???. Preprint available on ArXiv http://arxiv.org/abs/1603.05406.

Virta, J. and Nordhausen, K., (2016), Blind source separation of tensor-valued time series, submitted, ???, ???–???.