On the cross-correlation function of a nonlinear network

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 1977Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Proceedings of the IEEE, volume 65, pages 1,615-1,616 (issn: 0018-9219,

Copyright policy )

Authors: M. Rudko;

doi: 10.1109/proc.1977.10786

On the cross-correlation function of a nonlinear network

- Summary
- Metrics

Abstract

It is shown that the shape of the cross-correlation function of a nonlinear network consisting of the cascade connection of a linear network, a memoryless nonlinearity (NL) and a second linear network is independent, in the Gaussian case, of the presence of NL only when NL is not even. An explicit expression for the cross-correlation function of such a system is then given.

Related Organizations

Université de Sherbrooke
Canada

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average