Weighted Self-Adaptive Threshold Wavelets for Interpolation Point Selection Used in Interconnect MOR  

作　　者：Xinsheng Wang Mingyan Yu 

机构地区：[1]School of Astronautics,Harbin Institute of Technology

出　　处：《Journal of Harbin Institute of Technology(New Series)》2018年第1期39-45,共7页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the Fundamental Research Funds for the Central Universities(Grant No.HIT.NSRIF.2016107);the China Postdoctoral Science Foundation(Grant No.2015M581447)

摘　　要：As process technology development,model order reduction( MOR) has been regarded as a useful tool in analysis of on-chip interconnects. We propose a weighted self-adaptive threshold wavelet interpolation MOR method on account of Krylov subspace techniques. The interpolation points are selected by Haar wavelet using weighted self-adaptive threshold methods dynamically. Through the analyses of different types of circuits in very large scale integration( VLSI),the results show that the method proposed in this paper can be more accurate and efficient than Krylov subspace method of multi-shift expansion point using Haar wavelet that are no weighted self-adaptive threshold application in interest frequency range,and more accurate than Krylov subspace method of multi-shift expansion point based on the uniform interpolation point.As process technology development,model order reduction( MOR) has been regarded as a useful tool in analysis of on-chip interconnects. We propose a weighted self-adaptive threshold wavelet interpolation MOR method on account of Krylov subspace techniques. The interpolation points are selected by Haar wavelet using weighted self-adaptive threshold methods dynamically. Through the analyses of different types of circuits in very large scale integration( VLSI),the results show that the method proposed in this paper can be more accurate and efficient than Krylov subspace method of multi-shift expansion point using Haar wavelet that are no weighted self-adaptive threshold application in interest frequency range,and more accurate than Krylov subspace method of multi-shift expansion point based on the uniform interpolation point.

关 键 词：INTERCONNECT model order reduction HAAR wavelet transform WEIGHTED threshold multi-shift ARNOLDI circuit synthesis 

分 类 号：TN27[电子电信—物理电子学]