Transcription of Lecture 11: Electrical Noise - University of California ...
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Lecture 11: Electrical Noise - University of California ...
EECS 142 Lecture 11: Electrical NoiseProf. Ali M. NiknejadUniversity of California , BerkeleyCopyrightc 2005 by Ali M. NiknejadA. M. NiknejadUniversity of California , BerkeleyEECS 142 Lecture 11 p. 1/20 p. 1/20 Introduction to Noisevo(t)tAll electronic amplifiers generate Noise . This noiseoriginates from the random thermal motion of carriersand the discreteness of signals are random and must be treated bystatistical means. Even though we cannot predict theactual Noise waveform, we can predict the statisticssuch as the mean (average) and M. NiknejadUniversity of California , BerkeleyEECS 142 Lecture 11 p. 2/20 p. 2/20 Noise PowerThe average value of the Noise waveform is zerovn(t) =< vn(t)>=1T Tvn(t)dt= 0 The mean is also zero if we freeze time and take aninfinite number of samples from identical variance, though, is non-zero. Equivalently, we maysay that the signal power is non-zerovn(t)2=1T Tv2n(t)dt6= 0 The RMS (root-mean-square) voltage is given byvn,rms= vn(t)2A.
external bodies radiating into space (e.g. space or the ground) A. M. Niknejad University of California, Berkeley EECS 142 Lecture 11 p. 14/20 – p. Diode Shot Noise ... For short-channel devices, this relation is not true, but we can define α = gm gd0 6= 1
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