Hi jaeyoon,
I understand you have queries regarding the concept of signal integrity viewer.
In signal testing, "Statistical Center Eye Height" is a measurement we use to check how good a digital signal is. Imagine looking at a signal's shape that looks like an eye from the side. The "eye height" is how tall the open part of the eye is. If the eye is taller, it means the signal is stronger and less likely to have mistakes.
The numbers in square brackets [0.1]V, [0.01]V, and [0.001]V typically represent the vertical thresholds or confidence levels used to calculate the statistical eye height. These values are not voltage levels but are often associated with Bit Error Rates (BER). For example:
- Stat Center Eye Height[0.1]V might correspond to a BER of 1e-1 (or 10%).
- Stat Center Eye Height[0.01]V might correspond to a BER of 1e-2 (or 1%).
- Stat Center Eye Height[0.001]V might correspond to a BER of 1e-3 (or 0.1%).
However, the exact correspondence between these values and BER levels can vary depending on the specific signal integrity tool or standard being used.
Coming on second query, no, the result of "Stat Eye Height" is not the value of "BER 1-6."
"BER" stands for Bit Error Rate, which is the rate at which errors occur in the transmitted bits. It is a probability that a bit will be incorrectly received. "BER 1-6" could represent a BER of 1x10^-6, which means there is one error per one million bits sent.
While there is a relationship between the eye height and BER (a larger eye height usually means a lower BER), they are not the same thing. The eye height can be used to estimate the BER, but the actual BER value would typically be determined through bit error rate testing or statistical analysis.
To understand more about the statistical analysis results and get a better understanding of these terms you can refer to the following MathWorks documentation: Statistical Analysis Results - MATLAB & Simulink - MathWorks India
