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Firstly, the rotation matrix is computed using eigenvalue-eigenvector decomposition.
Finally, the panning matrix is computed using this information.
The preference matrix is computed by the formula (5).
Its Jacobian matrix is computed to evaluate the singular positions of the end-effector.
where the sub-channel equalizer matrix is computed according to the MMSE criterion.
The classical prewhitening matrix is computed by where ♯ denotes the pseudo inverse operator [47].
Reduced rigidity matrix is computed once for considered junction during data preparation stage.
The matrix is computed from the self-history of individual(x).
A Markov model is used and a transition probability matrix is computed.
Secondly, the covariance matrix is computed after determining the deviation from the mean.
At the end, the beamforming matrix is computed according to the set of scheduled streams.
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