Application of Mix-Phase Wavelets to Sparsify Impedance Matrices

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概要

• 論文の詳細を見る

• Effective wavelets to solve electromagnetic integral equations are proposed. It is based on the same construction procedure as Daubechies wavelets but with mix-phase to obtain maximum sparsity of moment matrix. These new wavelets are proved to have excellent performance in non-zero elements reduction in comparison with minimum-phase wavelet transform (WT). If further sparsity is concerned, wavelet packet (WP) transform can be applied but increases the computational complexity. In some cases, the capability of non-zero elements reduction by this new wavelets even better than WP with minimum-phase wavelets and with less computational efforts. Numerical experiments demonstrate the validity and effectiveness of the new wavelets.

• 社団法人電子情報通信学会の論文
• 1999-10-25

著者

• Jeng S‐k

  National Taiwan Univ. Taipei Twn

• Leou Jeng-long

  The Author Is With The Department Of Electrical Engineering National Taiwan University

• TARNG Jenn-Hwan

  Department of Communication Engineering, National Chiao-Tung University

• Huang Jiunn-ming

  The Author Is With The Department Of Communication Engineering National Chiao-tung University

• HUANG Jiunn-Ming

  Department of Communication Engineering, National Chiao-Tung University

• LEOU Jeng-Long

  Department of Electrical Engineering, National Taiwan University

• JENG Shyh-Kang

  Department of Electrical Engineering, National Taiwan University

• Jeng Shyh-kang

  Department Of Electrical Engineering National Taiwan University Taipei

• Tarng Jenn-hwan

  Department Of Communication Engineering National Chiao-tung University

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• Application of Mix-Phase Wavelets to Sparsify Impedance Matrices
• Application of Wavelets to Scattering Problems of Inhomogeneous Dielectric Slabs
• A Two Dimensional Partial-Response Maximum-Likelihood Technique for Holographic Data Storage Systems
• An SBR/Image Approach for Indoor Radio Propagation in a Corridor
• Gray Apertures for Holographic Data Storage System

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