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Uniform spatial discretizations and A stable linear multistep methods in time are considered.
Also, Tsay [19], Hurvich and Tsai [20] and Pötscher [21] have studied model selection methods in time series models.
Furthermore, as mentioned earlier in Section 1, the channel estimation methods in time domain do not make assumption on the subchannels being almost flat.
Extrapolating highly variable estimates produced using problematic methods in time and space creates extreme uncertainty and low confidence in these scaled estimates.
We propose a new class of "spatial interpolation" (SI) integrators that exploit this property by interpolating the force in space rather than (as with standard methods) in time.
For all cases, very high accuracy is attainable at moderate computational cost relative to the expense of variable order finite difference methods in time.
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(staggered-grid) finite-difference method in time domain.
We use the third order explicit TVD Runge-Kutta method in time direction [13].
The analysis is carried out using the finite element (FE) method in time domain.
The technique used is a variational discontinuous Galerkin finite element method in time.
The coefficients are identified using least-mean-square method in time domain.
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