Worked Example for Data Validity Debug focuses on invalid sample bursts, clipping incidents, stale-data escapes. The goal is to connect observed symptom to boundary mechanism, ownership, and signoff risk.
A stress workload shows invalid sample bursts, clipping incidents, stale-data escapes. The first review mistake is broad blame. A better review tracks one boundary transition, validates contract assumptions, and proves the first failing mechanism in Data Validity Debug.
AMS BOUNDARY SEQUENCE — Data Validity Debug
analog macro -> wrapper / boundary cell -> synchronizer or sampler -> digital consumer
| | | |
analog assumptions legal voltage/state clock/reset contract protocol/data validity
metric under watch: invalid sample bursts, clipping incidents, stale-data escapesframe valid + saturation flag + sequence integrity + freshness
all must pass before data is trusted.Capture tagged waveform/log/report set.
Mark mode boundary and first failure timestamp.
Map to contract and owner.
Compare against validity checker report, sampled trace set, anomaly triage memo.
Propose one reversible fix and predefine regression matrix.
BEFORE / AFTER — Data Validity Debug
health score
^
| --- target
| o regressed
| o before fix
| o after bounded fix
+--------------------------------------> debug iteration
Prove signal quality, timing margin, and integration safety together.Wrapper and sampling contracts determine data trustworthiness.
CONVERTER DATA FLOW
sampling clock -> wrapper -> sync boundary -> system consumerINVALID SAMPLE BURSTS
time ---> _|¯¯|__|¯¯¯|____|¯|_sample validity ratio
calibration convergence
CDC audit
overflow/stale sample counters
Mode transition changed sample phase and invalidated wrapper framing assumptions.
Sample timing contract
Calibration hook behavior
Wrapper CDC integrity
Ask: what boundary condition proves this topic is actually closed?
State boundary, mode, and evidence tag with every claim.
Always align analog, digital, and physical owners before signoff decisions.
Fixing averages while tails still fail.
Skipping package/supply evidence in jitter or SerDes issues.
Shipping with waivers that lack owner and expiration criteria.
Data validity must combine framing correctness, saturation/overflow signaling, and synchronization sanity so software trusts converter samples.
Metric: invalid sample bursts, clipping incidents, stale-data escapes
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