Progress Review of Electromagnetic Compatibility Analysis Technologies for Packages, Printed Circuit Boards, and Novel Interconnects

Li, Er‐Ping; Wei, Xing‐Chang; Cangellaris, A.C.; Liu, En‐Xiao; Zhang, Yaojiang; D’Amore, M.; Kim, Joungho; Sudô, Toshio

doi:10.1109/temc.2010.2048755

Cited by 166 publications

(22 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Last, more research is needed to study the simultaneous decoupling of multiple components in close proximity using SVAMs. This will find applications in signal integrity [88][89][90], EMC [91,92], multiple-input and multiple-output antennas [93][94][95], phased array antennas [96] and more.…”

Section: Discussionmentioning

confidence: 99%

Spatially variant periodic structures in electromagnetics

Rumpf

Pazos

Digaum

et al. 2015

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Spatially variant periodic structures in electromagnetics

Rumpf

Pazos

Digaum

et al. 2015

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…Thirdly, compared with other printing technologies, ink-jet printing is more accurate and has more advantages in realizing patterned preparation and full-color display. 209–212…”

Section: Printing Display Technologymentioning

confidence: 99%

Solution-processed OLEDs for printing displays

Zeng

Tang

Cai

et al. 2023

Mater. Chem. Front.

View full text Add to dashboard Cite

show abstract

“…with |·| denoting the absolute value of the complex coefficient 1 . The procedure can be rewritten in an iterative form for obtaining the eigevector v 1…”

Section: Power Iterationmentioning

confidence: 99%

“…Electromagnetic compatibility (EMC), electromagnetic interference (EMI), and signal integrity are critical for design and operation of high-performance communication and computing systems. 1,2 Because of the high integration and complexity of components and systems, EMC and immunity to noise has to be assessed in an accurate and efficient way already in the modeling stage to limit cost and time to market for product development.…”

Section: Introductionmentioning

confidence: 99%

“…In frequency domain, we need to store the frequency domain auto-and cross-correlation functions for each sampling point and for each pair of sampling points, respectively. The sampling of stochastic EM fields has been discussed in Russer et al 31 Thereby, the number of correlation spectra over the considered frequency range is given by N (2N − 1) if both tangential polarizations are considered in each measurement point or 1 2 N (N − 1) considering only 1 polarization component, where N is the number of sampling points, and the amount of data depends linearly on the number of frequency bins considered for further analysis. To make further numerical treatment possible, eg, for equivalent source localization in EMI scenarios or for computationally propagating correlation spectra, we need to reduce the amount of data considerably, without loosing the relevant contained information.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Principal component analysis for efficient characterization of stochastic electromagnetic fields

Haider

Russer

2017

Int J Numerical Modelling

View full text Add to dashboard Cite

The propagation of stochastic electromagnetic fields can be accurately modeled using the auto-and cross-correlation spectra of the field components. In this work, we introduce the framework of principal component analysis for reducing the computational cost of handling stochastic electromagnetic fields described by correlation matrices. We consider noisy electromagnetic fields originating from stationary random processes with Gaussian probability distribution. The amount of data obtained by 2-dimensional near-field measurements and by determining the autoand cross-correlation information of electromagnetic interference can become burdensome for further processing even for problems of moderate size. For obtaining the correlation data, 2 measurement probes have to scan a defined grid of measurement points. For each pair of points, the spatial correlations need to be calculated, and hence, the data obtained scales quadratically with the number of sampling points.To reduce the amount of data, we project the given data obtained by measurement or simulation onto directions of maximum variation, the so called principal components, and keep only those principal components which contribute most to the total variance. In this way, the memory demand for storage and further computation of stochastic electromagnetic fields can be reduced significantly. KEYWORDS electromagnetic interference, noisy electromagnetic fields, principal component analysis, stochastic electromagnetic fields Int J Numer Model. 2018;31:e2246.wileyonlinelibrary.com/journal/jnm

show abstract

Progress Review of Electromagnetic Compatibility Analysis Technologies for Packages, Printed Circuit Boards, and Novel Interconnects

Cited by 166 publications

References 79 publications

Spatially variant periodic structures in electromagnetics

Spatially variant periodic structures in electromagnetics

Solution-processed OLEDs for printing displays

Principal component analysis for efficient characterization of stochastic electromagnetic fields

Contact Info

Product

Resources

About