SEEj™ - Accurate RjDj Decomposition with Multi-vendor Correlation

"One thing that you may not be aware of - on the day we got M1 loaded and running on the scope, we learned more about our jitter components than in three months of testing using other instruments and approaches. There were clear periodic jitter components, and they could be easily tracked to their sources by matching jitter frequencies to chip operations and power fluctuations." - M1 OT Customer

No other tool provides RjDj Decomposition insight like M1™

M1 is the only scope application that provides a consistent set of measurement algorithms on all industry oscilloscopes.
M1 provides 12 RjDj decomposition methods; the most in the industry.
11 of M1’s RjDj Decomposition methods are based on MJSQ-sanctioned techniques . This enables M1 users to use the method that is common in their industry group.
After months of research, ASA Corp developed its own method, called SEEj.
SEEj provides true correlation by using identical algorithms on all major manufacturers’ real-time oscilloscopes.
M1 is the only jitter analysis tool that provides its user with RjDj Convergence Indicators.
SEEj is engineered to converge rapidly. On PRBS7 patterns, SEEj converges with as little as 40,000 edges.
SEEj measurement throughput is excellent. Unlike some solutions which require repeating patterns, SEEj throughput does not slow down as pattern length increases from PRBS7 to PRBS9, and ultimately all the way to 'live traffic."

SEEj™ circumvents vulnerabilities in other methods

SEEj works on repetitive, random and “live traffic” waveforms.
Only ASA gives users RjDj Decomposition versus time graphs to provide insight into RjDj stability.
Only ASA has measured the convergence performance of its RjDj Decomposition.

No other tool has been validated across such a wide range

ASA Corp developed the single most aggressive methodological validation ever.
ASA’s Data-jitter Algorithm Validation Engine (DAVE) v2 breaks jitter-space up into 15,000 regions and tests/calibrates SEEj across them.
SEEj’s innovative neural network calibrates decomposition accuracy to within 5% or 0.002 UI over the vast majority of jitter space.
In early 2006, Dave v3 will expand this validation to ~3 million jitter cases.
Learn more about the DAVE Validation process.
The unique Decomposition Performance Explorer (DPE), free for download, lets you determine how accurate SEEj is for your application.

We have a video showing the capabilities of SEEj in M1 and several Best Practices related to Rj/Dj decomposition in general.