Journal ArticleDOI
Model order reduction using spline-based dynamic multi-point rational interpolation for passive circuits
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In this paper, the authors developed a dynamic multi-point rational interpolation method based on Krylov subspace techniques to generate reduced order models for passive components and interconnects that are accurate across a wide-range of frequencies.Abstract:
The efficient modeling of integrated passive components and interconnects is vital for the realization of high performance mixed-signal systems. In this paper, we develop a dynamic multi-point rational interpolation method based on Krylov subspace techniques to generate reduced order models for passive components and interconnects that are accurate across a wide-range of frequencies. We dynamically select interpolation points by applying a cubic spline-based algorithm to detect complex regions in the system's frequency response. The results indicate that our method provides greater accuracy than techniques that apply uniform interpolation points.read more
Citations
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SOC-NLNA: Synthesis andOptimization forFully Integrated Narrow-Band CMOSLowNoise Amplifiers
TL;DR: SOC-NLNA is a systematic synthesis methodology for fully integrated narrow-band CMOS low noise amplifiers (LNA) in high performance system-on-chip (SoC) designs based on deterministic numerical nonlinear optimization and the normal boundary intersection (NBI) method for Pareto optimization.
Journal ArticleDOI
Model reduction in commensurate fractional-order linear systems
TL;DR: In this paper, some commonly used model reduction methods for integer-order systems are employed to approximate commensurate fractional-order linear systems, and the applied methods fall into the global reduction category, such as direct truncation and singular perturbation methods, and into the local reduction category.
Journal ArticleDOI
Passivity Preserving Model Order Reduction Using the Reduce Norm Method
TL;DR: A new frequency selective reduce norm spectral zero (RNSZ) projection method, which dynamically selects interpolation points using spectral zeros of the system, which can guarantee stability and passivity, while creating the reduced models, which are fairly accurate across selected narrow range of frequencies.
Proceedings ArticleDOI
Performance analysis of random demodulators with M-sequences and Kasami sequences
TL;DR: It is shown that a random demodulator with a Kasami sequence generally outperforms that with an M-sequence in terms of minimum sampling rate and minimum sparsity levels for successful reconstruction.
Proceedings ArticleDOI
On the effect of width of metallic armchair graphene nanoribbons in plasmonic waveguide applications
TL;DR: This paper mainly study the effect of the graphene nanoribbon width on the plasmon propagation length using numerical techniques to extract the dispersion relation of graphene Nanoribbons and the propagation properties of palsmons on graphene nan oribbons.
References
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Journal ArticleDOI
PRIMA: passive reduced-order interconnect macromodeling algorithm
TL;DR: In this article, an algorithm for generating provably passive reduced-order N-port models for linear RLC interconnect circuits is described, in which, in addition to macromodel stability, passivity is needed to guarantee the overall circuit stability.
Journal ArticleDOI
FASTHENRY: a multipole-accelerated 3-D inductance extraction program
TL;DR: Results from examples are given to demonstrate that the multipole acceleration can reduce required computation time and memory by more than an order of magnitude for realistic integrated circuit packaging problems.
Journal ArticleDOI
FastCap: a multipole accelerated 3-D capacitance extraction program
K. Nabors,Jacob K. White +1 more
TL;DR: Performance comparisons on integrated circuit bus crossing problems show that for problems with as few as 12 conductors the multipole accelerated boundary element method can be nearly 500 times faster than Gaussian-elimination-based algorithms, and five to ten times slower than the iterative method alone, depending on required accuracy.
A Survey of Model Reduction Methods for Large-Scale Systems
TL;DR: An overview of model reduction methods and a comparison of the resulting algorithms is presented, finding that the approximation error in the former case behaves better globally in frequency while in the latter case the local behavior is better.
Journal ArticleDOI
Projection-based approaches for model reduction of weakly nonlinear, time-varying systems
TL;DR: This paper reports on experiences with extending model reduction techniques to nonlinear systems of differential-algebraic equations, specifically, systems representative of RF circuit components, relying generally on perturbational techniques to handle deviations from the linear time-invariant case.
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