Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Furse, Cynthia M. |
Title |
Faster than fourier -- ultra-efficient time-to-frequency domain conversions for FDTD |
Date |
1998 |
Description |
Two highly efficient methods of computing magnitude and phase from time-domain data are demonstrated. These methods, based on solution of linear equations, are found to be equally accurate and more efficient than Fourier transform methods (DIT and FFT) for limited numbers of Frequencies. These methods provide a significant savings in computation time and storage requirements for FDTD simulations which require a large number of time-to-frequency domain conversions. Although some FDTD researchers may have applied the method for single frequency simulations, it is not widely known or used. The multiple frequency extension of this method has not been used previously, to my knowledge. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
Journal Title |
IEEE AP-S International Symposium |
Volume |
1 |
First Page |
536 |
Last Page |
539 |
citatation_issn |
2724693 |
Subject |
Finite-difference time-domain method; FDTD; Fourier transform methods; Sine wave magnitude; Sine wave phase |
Subject LCSH |
Time-domain analysis |
Language |
eng |
Bibliographic Citation |
Furse, C. M. (1998). Faster than fourier -- ultra-efficient time-to-frequency domain conversions for FDTD. The 14th Annual Review of Progress in Applied Computational Electromagnetics, ACES Symposium March 16-20, IEEE AP-S International Symposium, 1, 536-9. June 21-25. |
Rights Management |
(c) 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
182,606 bytes |
Identifier |
ir-main,14234 |
ARK |
ark:/87278/s65d99f5 |
Setname |
ir_uspace |
ID |
706709 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s65d99f5 |