An accurate and efficient modeling method is critical for studying seismic wave propagation, which is essential for full-waveform inversion. High-order temporal numerical methods can significantly improve the performa...
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An accurate and efficient modeling method is critical for studying seismic wave propagation, which is essential for full-waveform inversion. High-order temporal numerical methods can significantly improve the performance of viscoacoustic wave modeling, particularly in computational accuracy and efficiency. A high-order recursiveconvolution (RC) method is presented based on the staggered Adams-Bashforth time stepping scheme derived from Taylor series expansion. This method can achieve arbitrary order by retaining a varying number of terms for calculating the temporal convolutions involved in viscoacoustic wave modeling. Theoretical analysis demonstrates that our high-order RC method achieves superior accuracy in viscoacoustic wave modeling. Furthermore, it outperforms the conventional high-order auxiliary differential equation (ADE) method in terms of memory cost and runtime. Numerical tests conducted in 1D and 2D settings verify the efficiency of our method. For instance, in a 2D scenario with 1000 x 1000 grid, the fourth-order RC method reduces computation time by 27% and memory usage by 12% compared with the fourth-order ADE method while maintaining the same accuracy level. In addition, simulations using the Marmousi model confirm the accuracy and applicability of the high-order RC method for heterogeneous models.
A rigorous full-wave solution, via the Finite-Difference-Time-Domain (FDTD) method, is performed in an attempt to obtain realistic communication channel models for on-body wireless transmission in Body-Area-Networks (...
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A rigorous full-wave solution, via the Finite-Difference-Time-Domain (FDTD) method, is performed in an attempt to obtain realistic communication channel models for on-body wireless transmission in Body-Area-Networks (BANs), which are local data networks using the human body as a propagation medium. The problem of modeling the coupling between body mounted antennas is often not amenable to attack by hybrid techniques owing to the complex nature of the human body. For instance, the time-domain Green's function approach becomes more involved when the antennas are not conformal. Furthermore, the human body is irregular in shape and has dispersion properties that are unique. One consequence of this is that we must resort to modeling the antenna network mounted on the body in its entirety, and the number of degrees of freedom (DoFs) can be on the order of billions. Even so, this type of problem can still be modeled by employing a parallel version of the FDTD algorithm running on a cluster. Lastly, we note that the results of rigorous simulation of BANs can serve as benchmarks for comparison with the abundance of measurement data.
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