DocumentCode :
343770
Title :
A comparative study of wavelet matrix transformations for the solution of integral equations
Author :
Quan, W. ; Ciric, I.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume :
1
fYear :
1999
fDate :
11-16 July 1999
Firstpage :
328
Abstract :
The application of wavelets for the solution of electromagnetic field integral equation yields sparse matrix equations which can be solved efficiently by using sparse matrix techniques. In this paper, the wavelet matrix transforms using the semi-orthogonal wavelets (SOW) and the Daubechies orthogonal wavelets (DOW) are applied to the solution of integral equations and their performance is compared by investigating the convergence rate when the conjugate gradient (CG) method is employed. Since the SOW transform yields a matrix with a larger condition number than that corresponding to the DOW transform, it is expected that the convergence rate is much better in the latter case. Numerical simulations are conducted for the transverse magnetic (TM) scattering by conducting cylinders and the convergence rate of the CG iterative process is determined for the matrix equations transformed using the SOW and the DOW. The computed results confirm the theoretical expectations.
Keywords :
conducting bodies; conjugate gradient methods; convergence of numerical methods; electromagnetic fields; electromagnetic wave scattering; integral equations; sparse matrices; wavelet transforms; CG iterative process; Daubechies orthogonal wavelets; TM scattering; conducting cylinders; conjugate gradient method; convergence rate; electromagnetic field integral equation; integral equations solution; matrix condition number; matrix equations; numerical simulations; performance; semi-orthogonal wavelets; sparse matrix equations; transverse magnetic scattering; wavelet matrix transformations; Application software; Character generation; Eigenvalues and eigenfunctions; Electromagnetic fields; Electromagnetic scattering; Integral equations; Matrix decomposition; Sparse matrices; Symmetric matrices; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
Type :
conf
DOI :
10.1109/APS.1999.789146
Filename :
789146
Link To Document :
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