@inproceedings{b8666e5f13b641be86000355a8db8d1c,
title = "Source isolation measurements in a multi-source coupled system",
abstract = "An electronic system will commonly have multiple emission (or noise) sources, some of which are correlated while others are un-correlated. Measuring the contribution to a node voltage or branch current by an individual source with high accuracy in such a multi source inter-coupled system is a fundamental problem. The problem is further amplified when the signal processing following the measurements is highly sensitive to the error in the measured parameters. This article describes a filtering method which can isolate the measured parameter (voltage or current) of the contribution of other such sources while preserving the phase and magnitude associated with the source under consideration.",
keywords = "Adaptive Noise Cancellation, Black box model, EMI, selective source filtering, Terminal modelling",
author = "Abhishek Patnaik and Guangyao Shen and David Pommerenke and Martin Boettcher and Herman Aichele and Christoph Keller and Victor Khilkevich",
year = "2017",
month = oct,
day = "20",
doi = "10.1109/ISEMC.2017.8077844",
language = "English",
series = "IEEE International Symposium on Electromagnetic Compatibility",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "75--80",
booktitle = "2017 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMCSI 2017 - Proceedings",
address = "United States",
note = "2017 IEEE International Symposium on Electromagnetic Compatibility and Signal/Power Integrity : EMCSI 2017 ; Conference date: 07-08-2017 Through 11-08-2017",
}