On application of fast and adaptive periodic Battle-Lemarie wavelets to modeling of multiple lossy transmission lines

Xiaojun Zhu, Guangtsai Lei, George Pan

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


In this paper, the continuous operator is discretized into matrix forms by Galerkin's procedure, using periodic Battle-Lemarie wavelets as basis/testing functions. The polynomial decomposition of wavelets is applied to the evaluation of matrix elements, which makes the computational effort of the matrix elements no more expensive than that of method of moments (MoM) with conventional piecewise basis/testing functions. A new algorithm is developed employing the fast wavelet transform (FWT). Owing to localization, cancellation, and orthogonal properties of wavelets, very sparse matrices have been obtained, which are then solved by the LSQR iterative method. This algorithm is also adaptive in that one can add at will finer wavelet bases in the regions where fields vary rapidly, without any damage to the system orthogonality of the wavelet basis functions. To demonstrate the effectiveness of the new algorithm, we applied it to the evaluation of frequency-dependent resistance and inductance matrices of multiple lossy transmission lines. Numerical results agree with previously published data and laboratory measurements. The valid frequency range of the boundary integral equation results has been extended two to three decades in comparison with the traditional MoM approach. The new algorithm has been integrated into the computer aided design tool, MagiCAD, which is used for the design and simulation of high-speed digital systems and multichip modules Panet al. IEEE Trans. Hyb. Manuf. Technol.15(4), 465 (1992).

Original languageEnglish (US)
Pages (from-to)299-311
Number of pages13
JournalJournal of Computational Physics
Issue number2
StatePublished - Apr 1997

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Physics and Astronomy (miscellaneous)
  • General Physics and Astronomy
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics


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