From Frequency-Domain Physics-Based Simulation to Time-Domain Modeling of Traveling-Wave Tube Amplifiers for High Data-Rate Communication Applications

2006 ◽  
Vol 54 (10) ◽  
pp. 3605-3615 ◽  
Author(s):  
P.N. Safier ◽  
V. Dronov ◽  
T.M. Antonsen ◽  
J.X. Qiu ◽  
B.G. Danly ◽  
...  
Author(s):  
Rainee N. Simons ◽  
Dale A. Force ◽  
Paul C. Spitsen ◽  
William L. Menninger ◽  
Neal R. Robbins ◽  
...  

Author(s):  
Rupa Basu ◽  
Jeevan M. Rao ◽  
Trung Le ◽  
Rosa Letizia ◽  
Claudio Paoloni

2019 ◽  
Vol 66 (9) ◽  
pp. 4042-4047 ◽  
Author(s):  
Damien F. G. Minenna ◽  
Yves Elskens ◽  
Frederic Andre ◽  
Alexandre Poye ◽  
Jerome Puech ◽  
...  

Geophysics ◽  
2008 ◽  
Vol 73 (1) ◽  
pp. F1-F8 ◽  
Author(s):  
Wim A. Mulder ◽  
Marwan Wirianto ◽  
Evert C. Slob

We modeled time-domain EM measurements of induction currents for marine and land applications with a frequency-domain code. An analysis of the computational complexity of a number of numerical methods shows that frequency-domain modeling followed by a Fourier transform is an attractive choice if a sufficiently powerful solver is available. A recently developed, robust multigrid solver meets this requirement. An interpolation criterion determined the automatic selection of frequencies. The skin depth controlled the construction of the computational grid at each frequency. Tests of the method against exact solutions for some simple problems and a realistic marine example demonstrate that a limited number of frequencies suffice to provide time-domain solutions after piecewise-cubic Hermite interpolation and a fast Fourier transform.


Geophysics ◽  
1990 ◽  
Vol 55 (5) ◽  
pp. 626-632 ◽  
Author(s):  
R. Gerhard Pratt

The migration, imaging, or inversion of wide‐aperture cross‐hole data depends on the ability to model wave propagation in complex media for multiple source positions. Computational costs can be considerably reduced in frequency‐domain imaging by modeling the frequency‐domain steady‐state equations, rather than the time‐domain equations of motion. I develop a frequency‐domain approach in this note that is competitive with time‐domain modeling when solutions for multiple sources are required or when only a limited number of frequency components of the solution are required.


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