tensorBSS-package: Blind Source Separation Methods for Tensor-Valued...

Description Details Author(s) References

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’, ‘k-tJADE’, ‘tgFOBI’, ‘tgJADE’, ‘tSOBI’, ‘tNSS.SD’, ‘tNSS.JD’ and ‘tNSS.TD.JD’.

Details

Package: tensorBSS
Type: Package
Version: 0.3.3
Date: 2017-10-06
License: GPL (>= 2)

Author(s)

Joni Virta, Bing Li, Klaus Nordhausen and Hannu Oja

Maintainer: Joni Virta <[email protected]>

References

Virta, J., Li, B., Nordhausen, K. and Oja, H., (2017), Independent component analysis for tensor-valued data, Journal of Multivariate Analysis, doi: 10.1016/j.jmva.2017.09.008

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., (2017), Blind source separation of tensor-valued time series. Signal Processing 141, 204-216


tensorBSS documentation built on Oct. 6, 2017, 9:02 a.m.