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Equation (18) can be given in matrix form as (19).
The received signal can be given in matrix form as (13).
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The standard formulation of the gray-scale image degradation model is given in matrix-vector form by y = H x + n, (1).
For a binary class problem, the costs of classification can be given in a cost matrix (Table 4).
Sufficient conditions for stability and stabilization are given in polynomial matrix inequalities (PMIs), and these conditions can be verified by sum of squares technique which solves linear matrix inequality feasibility problem in essence.
Using Lyapunov method, sufficient synthesis conditions are given in Linear Matrix Inequalities (LMI) terms.
If a formula was not detected in that sample, a 0 was given in the matrix.
The design conditions are given in linear matrix inequalities (LMIs) terms that can be solved efficiently using existing numerical tools.
Conditions we obtain here are delay-dependent conditions that depend on the upper bound of time delay, and are given in linear matrix inequalities LMIs).
The elements are equally spaced around the circumference, and their positions, which are determined from the layout of array, are given in the matrix form as (11).
Then, the data sampled in the whole monitoring time is given in a matrix r ~ i = r ~ i, 1 T, r ~ i, 2 T, …, r ~ i, N s T, (2). of dimension K×N s, where T denotes the transpose.
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