Efficient Design of Arbitrary Complex Response Continuous-Time IIR Filter

Lei, Chi‐Un; Cheung, Chung-Man; Kwan, Hon Keung; Wong, Ngai

doi:10.1007/978-1-4020-9532-0_13

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Furthermore, its theoreticallysimple and versatile framework can easily incooperate various constraints by introducing a variety of extensions to many areas. VF has also been used in modeling of different electrical systems [1,2] and extended to different areas, for example, filter design [3,4,5], power network analysis [6,2] and electromagnetic (EM) simulation [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Decade of Vector Fitting Development: Applications on Signal∕Power Integrity

Lei

Wang

Chen

et al. 2010

AIP Conference Proceedings

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Vector Fitting (VF) has been introduced as a partial-fraction basis response fitting methodology for over a decade. Because of its reliability and versatility, VF has been applied and extended to a number of areas. In this book chapter, we will discuss the applications of VF in the context of macromodeling of linear structures in signal/power integrity analyses. We will also discuss main features of VF along three directions: data, algorithms and models. Two practical examples are given to demonstrate the merits of VF. An alternative P-norm approximation criterion is proposed to enhance the accuracy of the macromodeling process.

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Section: Introductionmentioning

confidence: 99%

A Decade of Vector Fitting Development: Applications on Signal∕Power Integrity

Lei

Wang

Chen

et al. 2010

AIP Conference Proceedings

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“…Third, we have also proposed the discrete-time hybriddomain (HD-VFz) variants [6], which model responses with a better hybrid-domain accuracy through providing extra informative data. Fourth, in order to improve the funcationality of VF, we have extended VF to the effective asymmetrical response modeling of complex-domain systems (e.g., complex filter) by relaxing the complex conjugate pole pair restriction in VF [4] and VFz. Fifth, we have developed a versatile macromodeling adoption through a P -norm approximation expansion [2].…”

Section: B Macromodeling Framework Advancements Via Discrete Time Domentioning

confidence: 99%

VLSI macromodeling and signal integrity analysis via digital signal processing techniques

Lei

Man²,

Wu³

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Abstract-Linear macromodeling has been applied to highfrequency circuit simulations to accelerate the global interconnect system simulation process. By approximating tabulated structure response data, reduced macromodels can be generated. However, conventional macromodeling approaches suffer from numerical robustness and convergence problems. This paper aims to apply digital signal processing techniques to facilitate the macromodeling process. Besides improving the existing widely adopted framework (called VFz) through introducing a robust discrete-time domain (z-domain) computation, alternative macromodeling methodology (called VISA) has also been developed, which significantly simplifies the computation procedure. Furthermore, universal pre-processing technique (frequency warping) is introduced for a numerically favorable computation of the macromodeling process. These techniques have been shown to significantly improve the robustness and convergence of the modeling process.

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Efficient Design of Arbitrary Complex Response Continuous-Time IIR Filter

Cited by 2 publications

References 16 publications

A Decade of Vector Fitting Development: Applications on Signal∕Power Integrity

A Decade of Vector Fitting Development: Applications on Signal∕Power Integrity

VLSI macromodeling and signal integrity analysis via digital signal processing techniques

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