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The covariance matrix is calculated.
Then, the initialized membership matrix is calculated.
Then, a cost matrix is calculated from the distance matrix.
The state-feedback gain matrix is calculated by linear matrix inequality technique.
The Jacobian matrix is calculated numerically by perturbing the state variables.
Then, a recurrence matrix is calculated from each of the time series.
The dip angle dependence of all terms of the error matrix is calculated.
The approximate co variance matrix is calculated afterward according to (18).
The transition matrix is calculated based on the real trace data of mobile users.
The accumulated distance matrix,, is calculated according to the recursion in the following equation: (3).
In this algorithm, the demixing matrix is calculated using a gradient descent.
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