Brush off every speck of dust on the lens of the "camera" in the engineer's hand and capture the deepest eyes!

We all know that when conducting eye diagram and jitter testing on high-speed serial signals, the proportion occupied by random jitter (RJ) is difficult to predict because it has no identifiable pattern. A typical example of random noise is the sound heard when a radio receiver is tuned to a carrier frequency with no activity. Although in theory a random process has an arbitrary probability distribution, we assume that the random jitter exhibits a Gaussian distribution to build the jitter model. One reason for this assumption is that in many circuits, the main source of random noise is thermal noise (also called Johnson noise or shot noise), which exhibits a Gaussian distribution.

Speaking of which, our engineer's camera, the oscilloscope, as a measuring instrument rich in integrated circuits for measuring the circuit under test, will "contribute" its own share of random noise (RJ). How to blow off the oscilloscope's own noise? The "grey (RJ)" of the belt has become a key factor for us to obtain more accurate measurement results.