User: Guest  Login
Title:

Principal component analysis for efficient characterization of stochastic electromagnetic fields

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Journal title:
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Year:
2018
Journal volume:
31
Journal issue:
4
Pages contribution:
e2246
Fulltext / DOI:
doi:10.1002/jnm.2246
 BibTeX