Stefano Grivet-Talocia

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—This paper presents a new technique for the passivity enforcement of linear time-invariant multiport systems in state-space form. This technique is based on a study of the spectral properties of related Hamiltonian matrices. The formulation is applicable in case the system input-output transfer function is in admittance , impedance, hybrid, or scattering(More)
— This paper presents a wavelet-based algorithm for the detection, identification, and extraction of gravity waves from atmospheric pressure traces. The main data processing tool is a nonlinear adaptive filter based on the selective reconstruction of a waveform from its wavelet coefficients. The time-frequency localization of the wavelet transform provides(More)
This paper presents a systematic methodology for the system-level assessment of signal integrity and electromagnetic compatibility effects in high-speed communication and information systems. The proposed modeling strategy is illustrated via a case study consisting of a critical coupled net of a complex system. Three main methodologies are employed for the(More)
—The passivity characterization and enforcement of linear interconnect macromodels has received much attention in the recent literature. It is now widely recognized that the Hamiltonian eigensolution is a very reliable technique for such characterization. However, most available algorithms for the determination of the required Hamiltonian eigenvalues still(More)
Description: In the first comprehensive treatment of passive macromodeling on the market, macromodeling experts Stefano Grivet-Talocia and Bjorn Gustavsen address the complex subject with examples of effective, proven methods. Finally, students and researchers may turn to a text that tends to the theoretical background essential to comprehending the(More)
Moore's Law has driven the semiconductor revolution enabling over four decades of scaling in frequency, size, complexity, and power. However, the limits of physics are preventing further scaling of speed, forcing a paradigm shift towards multicore computing and parallelization. In effect, the system is taking over the role that the single CPU was playing:(More)
—The electrical performance of Power Distribution Networks (PDNs) is usually assessed by computing frequency responses through quasi-static or full-wave electromagnetic solvers. Such responses, often available in the scattering form, are then fed to suitable macromodeling algorithms for the extraction of compact reduced-order behavioral models that can be(More)
—This paper describes a novel approach for passivity enforcement of compact dynamical models of electrical interconnects. The proposed approach is based on a parameterization of general state-space scattering models with fixed poles. We formulate the passivity constraints as a unitary boundedness condition on the H ∞ norm of the system transfer function.(More)
This paper describes a robust and accurate blackbox macromodeling technique, in which the constitutive equations combine both closed-form delay operators and low-order rational coefficients. These models describe efficiently electrically long interconnect links. The algorithm is based on an iterative weighted least-squares process and can be interpreted as(More)
— In this paper, a systematic methodology for the assessment of Power/Signal Integrity effects in high-speed communication and information systems is presented. The proposed methodology leads to accurate and efficient macromodels for logic devices, transmission-line interconnects and discontinuities that can be easily implemented in any commercial tool and(More)