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2021 IEEE 25th Workshop on Signal and Power Integrity (SPI)最新文献

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Impact of Chuck Boundary Conditions on Wideband On-Wafer Measurements 卡盘边界条件对宽带片上测量的影响
Pub Date : 2021-05-10 DOI: 10.1109/SPI52361.2021.9505192
G. Phung, U. Arz
While a lot of investigations have been presented recently explaining the parasitic effects in on-wafer measurements caused by probes, neighborhood and environmental effects, this paper addresses the impact of chuck boundary conditions. Starting from a coplanar waveguide (CPW) measurement example, this paper demonstrates how the most relevant chuck parameters, i.e. thickness and relative permittivity, deteriorate the S-parameters of CPWs.
虽然最近有很多研究解释了由探针、邻域和环境效应引起的片上测量中的寄生效应,但本文讨论了卡盘边界条件的影响。本文从共面波导(CPW)的测量实例出发,论证了最相关的卡盘参数(即厚度和相对介电常数)如何恶化CPW的s参数。
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引用次数: 1
ANN Hyperparameter Optimization by Genetic Algorithms for Via Interconnect Classification 基于遗传算法的人工神经网络超参数优化
Pub Date : 2021-05-10 DOI: 10.1109/SPI52361.2021.9505202
Allan Sánchez-Masís, A. Carmona-Cruz, Morten Schierholz, X. Duan, Kallol Roy, Cheng Yang, R. Rímolo-Donadío, C. Schuster
In an imbalanced classification problem the distribution of data across the known classes is biased or skewed. It poses a challenge for predictive modeling as most of the machine learning algorithms used for classification were designed around the assumption of an equal number of examples for each class. In this paper, we propose an approach to solve via interconnect classification problems by artificial neural networks, where the optimum hyperparameters of the networks are searched through a genetic algorithm. We solve the binary imbalanced classification problem for vias in time domain and frequency domain, including single and multilabel cases. Imbalanced learning techniques, like random oversampling and weighted binary crossentropy, are studied in combination with the genetic algorithm. We found standardization, F-measure, and imbalanced learning techniques are suitable to deal with minority label classification for this kind of signal integrity problems. The overall accuracy of our method is above 97%.
在不平衡分类问题中,数据在已知类中的分布是有偏的或倾斜的。这对预测建模提出了挑战,因为大多数用于分类的机器学习算法都是围绕每个类的样本数量相等的假设设计的。在本文中,我们提出了一种通过遗传算法搜索网络的最优超参数来解决通过互连分类问题的人工神经网络方法。我们在时域和频域解决了通孔的二元不平衡分类问题,包括单标签和多标签情况。结合遗传算法研究了随机过采样和加权二元交叉熵等非平衡学习技术。我们发现标准化、f -测度和不平衡学习技术适合处理这类信号完整性问题的少数标签分类。该方法的总体准确率在97%以上。
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引用次数: 2
Non-destructive PCB Substrate Height Extraction with Multi-Measurement Technique 基于多重测量技术的无损PCB基板高度提取
Pub Date : 2021-05-10 DOI: 10.1109/SPI52361.2021.9505208
Tim Wang Lee, F. de Paulis, M. Resso, M. Piket-May, E. Bogatin
This paper introduces a non-destructive measurement technique that extracts the as-fabricated substrate height of printed circuit boards. The as-fabricated substrate height is a crucial parameter for dielectric constant extraction and impedance prediction of any fabricated printed circuit board. Multi-measurement and line fitting techniques were introduced to convert measured S-parameters of shorted transmission lines to frequency-dependent per-unit-length inductance. A computation routine used analytical PUL inductance equations to generate frequency-dependent PUL inductance curve with given substrate height. By changing the input substrate height and minimizing the difference between the calculated and measured PUL inductance results, the as-fabricated height was extracted. The obtained height value with associated uncertainty was shown to be consistent with substrate height measured with direct cross-section inspection.
本文介绍了一种提取印刷电路板成品衬底高度的无损测量技术。对于任何印制电路板的介电常数提取和阻抗预测,衬底高度都是至关重要的参数。采用多重测量和线路拟合技术,将实测的短路输电线路s参数转换为与频率相关的单位长度电感。一个计算程序利用解析式电感方程生成给定衬底高度的随频率变化的电感曲线。通过改变输入基板的高度,并使计算和测量的电感值之间的差值最小,提取出制作高度。所获得的高度值与相关的不确定度被证明是一致的基材高度测量直接横截面检查。
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引用次数: 1
A Tunable Macro-Modeling Method for Signal Transition in mm-Wave Flip-Chip Technology 毫米波倒装芯片技术中信号转换的可调宏观建模方法
Pub Date : 2021-05-10 DOI: 10.1109/SPI52361.2021.9505233
Pouya Namaki, N. Masoumi, M. Nezhad-Ahmadi, S. Safavi-Naeini
In this work, a method for developing a lumped-element circuit macro-modeling of micro/millimeter-wave flip-chip ball interconnects is proposed. The developed macro-model considers the effects of the transmission-line behavior of interconnects as well as the substrate physical characteristics of the chip and the printed circuit board (PCB). Full-wave simulations are used to generate the circuit model for a ground-signal-ground (GSG) bump structure. The derived highly efficient circuit model is verified against a full-wave simulation tool, proving a good agreement. Using the proposed modeling method, the impact of the flip-chip technology package on the electrical performance of high-speed electronic systems can be investigated in the pre-layout design stages that provides room for significant improvements.
本文提出了一种开发微/毫米波倒装球互连集总元电路宏观建模的方法。所建立的宏观模型考虑了互连的传输在线行为以及芯片和印刷电路板(PCB)的衬底物理特性的影响。采用全波仿真的方法建立了地-信-地碰撞结构的电路模型。利用全波仿真工具验证了该高效电路模型的正确性。利用所提出的建模方法,可以在预布局设计阶段研究倒装芯片技术封装对高速电子系统电气性能的影响,为显著改进提供空间。
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引用次数: 1
Fast and Stable Transient Simulation of Nonlinear Circuits using the Numerical Inversion of the Laplace Transform 基于拉普拉斯变换数值反演的非线性电路快速稳定暂态仿真
Pub Date : 2021-05-10 DOI: 10.1109/SPI52361.2021.9505221
B. Bandali, E. Gad, M. Nakhla
This paper outlines a novel approach for simulating general nonlinear circuits in the time-domain. The proposed approach can be considered as the generalization of the numerical inversion Laplace transform (NILT) which has been used for circuits with only linear elements. The new approach enables the well-known advantages of NILT such the guaranteed numerical stability and the high-order approximation, to be carried to the domain of nonlinear circuit. A numerical example is given to demonstrate the validity of the proposed method.
本文提出了一种在时域上模拟一般非线性电路的新方法。所提出的方法可以看作是数值拉普拉斯逆变换(NILT)的推广,该方法已被用于只有线性元件的电路。该方法将NILT的数值稳定性和高阶逼近性等众所周知的优点应用到非线性电路领域。算例验证了该方法的有效性。
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引用次数: 2
[Front matter] (前页)
Pub Date : 1900-01-01 DOI: 10.1109/spi52361.2021.9505234
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引用次数: 0
期刊
2021 IEEE 25th Workshop on Signal and Power Integrity (SPI)
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