Variance and kurtosis-based characterization of resonances in stochastic transmission lines: local versus global random geometries

Sy, Oumar; Beurden, van Mc Martijn; Michielsen, BL Bas; Tijhuis, AG Anton

doi:10.3906/elk-0908-166

Turkish Journal of Electrical Engineering and Computer Sciences

2009

DOI: 10.3906/elk-0908-166

|View full text |Cite

Variance and kurtosis-based characterization of resonances in stochastic transmission lines: local versus global random geometries

Oumar Sy¹,

van Mc Martijn Beurden²,

BL Bas Michielsen³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2012

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame

Beurden

Michielsen³

et al. 2012

PIER B

View full text Add to dashboard Cite

Abstract-Uncertainties in an electromagnetic observable, that arise from uncertainties in geometric and electromagnetic parameters of an interaction configuration, are here characterized by combining computable higher-order moments of the observable with higher-order Chebychev inequalities. This allows for the estimation of the range of the observable by rigorous confidence intervals. The estimated range is then combined with the maximum-entropy principle to arrive at an efficient and reliable estimation of the probability density function of the observable. The procedure is demonstrated for the case of the induced voltage of a thin-wire frame that has a random geometry, is connected to a random load, and is illuminated by a random incident field.

show abstract

Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame

Beurden

Michielsen³

et al. 2012

PIER B

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Variance and kurtosis-based characterization of resonances in stochastic transmission lines: local versus global random geometries

Cited by 1 publication

References 19 publications

Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame

Higher-Order Statistics for Stochastic Electromagnetic Interactions: Applications to a Thin-Wire Frame

Contact Info

Product

Resources

About