Wavelet-Based Passivity Preserving Model Order Reduction for Wideband Interconnect Characterization

Model order reduction plays a key role in determining VLSI system performance and the optimization of interconnects. In this paper, the authors develop an accurate and provably passive method for model order reduction using adaptive wavelet-based frequency selective projection. The wavelet-based approach provides an automated means to generate low order models that are accurate in a particular range of frequencies. The results indicate that our approach provides more accurate reduced order models than the spectral zero method with uniform interpolation points and the zero-shift and multi-shift Block Arnoldi-based techniques