Title :
Impedance matrix compression (IMC) using iteratively selected wavelet basis
Author :
Baharav, Zachi ; Leviatan, Yehuda
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
2/1/1998 12:00:00 AM
Abstract :
We present a novel approach for the incorporation of wavelets into the solution of frequency-domain integral equations arising in scattering problems. In this approach, we utilize the fact that when the basis functions used are wavelet-type functions, only a few terms in a series expansion are needed to represent the unknown quantity. To determine these dominant expansion functions, an iterative procedure is devised. The new approach combined with the iterative procedure yields a new algorithm that has many advantages over the presently used methods for incorporating wavelets. Numerical results which illustrate the approach are presented for three scattering problems
Keywords :
electric impedance; electromagnetic wave scattering; frequency-domain analysis; integral equations; iterative methods; series (mathematics); wavelet transforms; EM scattering problems; algorithm; basis functions; expansion functions; frequency-domain integral equations; impedance matrix compression; iterative procedure; iteratively selected wavelet basis; series expansion; wavelet-type functions; Electromagnetic scattering; Frequency; Impedance; Integral equations; Iterative algorithms; Iterative methods; Optical scattering; Signal processing; Sparse matrices; Testing;
Journal_Title :
Antennas and Propagation, IEEE Transactions on