Identification of EMI noise sources through the use of fourier and wavelet transforms

Coppola, L.; Buso, Simone; Liu, Q.; Boroyevich, Dushan; Bell, Alex

doi:10.1109/ias.2005.1518856

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“…If the environment ambient noise is complex enough, discriminating EUT ¶s EMI signal from ambient noise will become extraordinary hard, and the veracity of test will be reduced [5,6].…”

Section: Introductionmentioning

confidence: 99%

Ambient noise cancellation in frequency domain EMI measurement

Dai

et al. 2011

2011 4th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications

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Abstract² In this paper, an advanced signal processing technique for measurements of electromagnetic interference from electronic devices will be presented. Lower and lower ambient noise is preferred in electromagnetic interference measurement. Not all the device producers can pay for darkroom measurement, because it real costs a lot. This method provides an opportunity to perform an electromagnetic interference measurement at a site polluted by electromagnetic ambient noise. Resulted from a real device under test, automatic measurement with this method that successfully cancels the ambient noise will be presented.

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“…If the environment ambient noise is complex enough, discriminating EUT ¶s EMI signal from ambient noise will become extraordinary hard, and the veracity of test will be reduced [5,6].…”

Section: Introductionmentioning

confidence: 99%