Abstract
In this paper, a wavelet based bi-orthonormal decomposition method is proposed and applied to the solution of linear inverse problems in electromagnetics. The unknown function is expanded into wavelets, where an adaptive algorithm is developed utilizing the multiresolution properties of the wavelet. The spectral domain method is used to find the bi-orthonormal bases for shift-invariant operators; and the wavelet decomposition method is formulated to construct the bi-orthonormal bases for general operators. The modified least square QR iterative method is employed to solve the resulting sparse matrix equations. Finally the method is used in the computation of the scattering of TM waves by an elliptic conducting cylinder.
Original language | English (US) |
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Title of host publication | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
Publisher | IEEE |
Pages | 8-11 |
Number of pages | 4 |
Volume | 1 |
State | Published - 1994 |
Externally published | Yes |
Event | Proceedings of the IEEE Antennas and Propagation International Symposium. Part 3 (of 3) - Seattle, WA, USA Duration: Jun 19 1994 → Jun 24 1994 |
Other
Other | Proceedings of the IEEE Antennas and Propagation International Symposium. Part 3 (of 3) |
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City | Seattle, WA, USA |
Period | 6/19/94 → 6/24/94 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering