This Flash-based calculator features phase-noise analysis, spurious noise analysis, jitter filtering, normalized variance, save as PDF, and computes metrics for RMS Noise, Phase Jitter, Residual FM, and TIE DJ. Read the User Guide for more information. View system requirements to run this calculator.

Note that this calculator is also integrated into the JitterLabs web application, which adds the ability to download jitter filters from the cloud.

This HTML-based calculator features phase-noise analysis, save as PDF, and computes metrics for Phase Jitter and phase-jitter-per-segment.

The above phase-noise calculators work great for small data sets, but not for large data sets (such as data output by test equipment or simulators). Of course, you can always derive a smaller data set (by representing the data using piece-wise linear segments) and then use the above calculators. Or, you can import the full dataset into this Excel spreadsheet calculator.

This calculator helps you determine how many bits to transmit for a BER test to have some confidence that the true BER is lower than some specified limit.

Assuming all noise is random, this calculator evaluates a jitter distribution at a specified probability to convert an RMS value of jitter into a peak-to-peak value.

This calculator computes the eye-closure in a BER bathtub plot due to the random component of TIE jitter (in ps RMS) in a signal.

This Excel spreadsheet calculator provides a conservative estimate of output total jitter (TJ) when connecting several elements in series, given each element's jitter contribution in terms of its random (RJ) and deterministic jitter (DJ) components. Alternatively, one may begin with a target output total jitter, then budget jitter to each element in the link to meet this target. In either case, each element's jitter may be tweaked to understand its effect on system performance while optimizing a jitter budget.

Note that this simple calculator makes assumptions that tend to over-estimate the output node's total jitter value. Use it with the intent of revealing potential problems in a system, rather than guaranteeing the system will work trouble-free.