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Document type:
Zeitschriftenaufsatz 
Author(s):
Haider, M.; Russer, J.A. 
Title:
Principal component analysis for efficient characterization of stochastic electromagnetic fields, SIGNAL AND POWER INTEGRITY OF MICROELECTRONIC NETWORKS THROUGH MODELLING AND SIMULATION OF FIELDS AND DEVICES 
Abstract:
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-d...    »
 
Keywords:
electromagnetic interference, noisy electromagnetic fields, principal component analysis, stochastic electromagnetic fields 
Journal title:
International Journal of Numercal Modelling J Numer Model. 2017; e2246 2017-05 
Year:
2017 
Year / month:
2017-05 
Quarter:
2. Quartal 
Month:
May 
Pages contribution:
1-10 
Language:
en 
Publisher:
Wiley Online Library, European Union's Horizon 2020 research and innovation programme. Grant Number: 664828 (NEMF21)