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Section 2 revisits the Volterra filters, discussing the redundancy-removed and matrix-form representations of kernel input-output relationships.
The implementation depicted in Fig. 1 is based on the standard matrix-form representation of the input-output relationship of the second-order kernel.
For a general LTV system, the input and output Hankel matrices formed by an ensemble of data satisfy a matrix facotrization relation.
Given any ({mathcal {U}}=left {u_{1}, ldots, u_{k}right } subseteq {mathcal {L}}) of selected helper nodes, we first reformulate the channel input-output relations (45) in matrix form.
The WTMBT database of inputs is combined with scenario results to derive A B and Y B, matrices forming the MRIO table, which are also required for the network analysis.
Modeled in a matrix form, the CCHP system can be viewed as an input output model.
It is convenient to represent their payments in matrix form.
The system input output relationship can be expressed in a matrix form as: Y n = H × g X n + N n.
The matrix form of Eqs.
Alternatively, in matrix form we have (25).
or, in the matrix form (2.29).
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