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Titel:

Principal component analysis for efficient characterization of stochastic electromagnetic fields

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Haider, Michael; Russer, Johannes A.
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...     »
Zeitschriftentitel:
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Jahr:
2018
Band / Volume:
31
Heft / Issue:
4
Seitenangaben Beitrag:
e2246
Volltext / DOI:
doi:10.1002/jnm.2246
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