Blind Source Separation Methods for Tensor-Valued Observations

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Documentation for package ‘tensorBSS’ version 0.3.4

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tensorBSS-package Blind Source Separation Methods for Tensor-Valued Observations
k_tJADE k-tJADE for Tensor-Valued Observations
mModeAutoCovariance The m-Mode Autocovariance Matrix
mModeCovariance The m-Mode Covariance Matrix
plot.tbss Plot an Object of the Class tbss
selectComponents Select the Most Informative Components
tensorBSS Blind Source Separation Methods for Tensor-Valued Observations
tensorCentering Center an Array of Observations
tensorStandardize Standardize an Observation Array
tensorTransform Linear Transformation of Tensors from mth Mode
tensorVectorize Vectorize an Observation Tensor
tFOBI FOBI for Tensor-Valued Observations
tgFOBI gFOBI for Tensor-Valued Time Series
tgJADE gJADE for Tensor-Valued Time Series
tJADE tJADE for Tensor-Valued Observations
tMD Minimum Distance Index of a Kronecker Product
tNSS.JD NSS-JD Method for Tensor-Valued Time Series
tNSS.SD NSS-SD Method for Tensor-Valued Time Series
tNSS.TD.JD TNSS-TD-JD Method for Tensor-Valued Time Series
tPCA PCA for Tensor-Valued Observations
tPP Projection pursuit for Tensor-Valued Observations
tSIR SIR for Tensor-Valued Observations
tSOBI SOBI for Tensor-Valued Time Series