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Abstract
We present a simple and instructive experiment to offer undergraduate learners an insight into the subtle statistical concepts of electrical noise. The experimental simplicity here stems from using only a digital oscilloscope with taking its inherent input channel noises as noise sources. Supplementary sources required for correlation studies are readily created as functions of these channel noises via the arithmetic operators provided by the scope. The measured and expected root-mean-square (rms) values of these sources are statistically treated to identify the correlating noise and the correlation states. The tunability of these states is also illustrated.
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No potential conflict of interest was reported by the author(s).
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T. Easwarakhanthan
T Easwarakhanthan received his BEng in electrical engineering from the University of Moratuwa (Sri Lanka) in 1979, MEng in energy technology from the Asian Institute of Technology (Bangkok, Thailand) in 1981, and PhD in photovoltaics energy from the University of Lorraine (Nancy, France) in 1986. Since 1988, he has been teaching electronics and digital signal processing at the Institute of Technology of the University of Lorraine. His current research work at the Institute Jean Lamour of the University of Lorraine includes structural and spectroscopic optical characterizations of new functional materials.