DAC Fundamentals: Codes, Full-Scale Range, and Quantization Behavior: Comparison Matrix

Comparison matrix

Architecture selection depends on workload spectra, reconstruction strategy, and calibration appetite.

+------------------+----------------+----------------+----------------+
| Approach         | Strength       | Weakness       | Best when      |
+------------------+----------------+----------------+----------------+
| Margin-heavy     | high robustness | PPA cost       | first silicon  |
| Balanced         | good efficiency | coordination load | volume products |
| Performance-first | peak throughput | fragile corners | high-control stacks |
| Observability-first | faster triage  | instrumentation overhead | new architectures |
+------------------+----------------+----------------+----------------+

When to choose each approach

• Pick strategy from failure-mode sensitivity and debug cost, not one benchmark alone.

Interview traps

• Choosing architecture by familiarity while ignoring integration constraints.

• Skipping stress-mode validation during design-space decisions.

Analog deep dive

DAC closure needs both static transfer quality and dynamic glitch/spectral discipline.

Concept diagram

DAC OUTPUT CHAIN

code mapping -> switching network -> output path -> reconstruction filter

Metric graph

DAC RISK MIX

major-carry glitches     █████
settling residuals       ████
image leakage            ███

Metrics and artifacts to collect

• INL/DNL sweep package

• glitch energy and settling trend

• SFDR/THD versus output frequency

• reconstruction filter compliance

Mini case study

Good static linearity masked dynamic spur failures driven by switching asymmetry and insufficient reconstruction margin.

Debug branches

• Tie static transfer plots to dynamic spectral outcomes.

• Inspect major-carry behavior separately from small-step transitions.

• Validate output path with realistic load and package parasitics.

Senior review question

Ask: which source-path-victim boundary failed first, and which artifact proves it reproducibly?

Key takeaways

• Tie every analog claim to one measurable metric and one proving artifact.

• Prefer minimal reversible mitigations with explicit owner and rollback criteria.

Common pitfalls

• Treating all noise as one scalar instead of path and frequency dependent behavior.

• Changing multiple analog knobs at once and losing causality.

• Declaring closure from nominal behavior without stress replay evidence.

Principal analog review addendum

DAC Fundamentals: Codes, Full-Scale Range, and Quantization Behavior should be reviewed as an end-to-end execution problem spanning architecture, implementation, and integration.

Use Monotonic transfer compliance, settling to within 0.5 LSB, and low-frequency effective resolution under a defined reference and load. as the trigger metric and Code-to-output transfer worksheet with coding-map examples, LSB calculations, and settling-budget assumptions. as the proof contract.

DAC closure requires both static linearity discipline and dynamic switching-spectrum control. Durable closure comes from explicit assumptions and owner accountability.