A field team faces an unresolved physical question: When does a datasheet number lose the signal? They must answer it before changing sample rate in hertz on the real device. Predict the direction first.
See the relationship before changing it
The figure reads from left to right. The blue card is sample rate in hertz. The middle card applies this page's relationship. The green card is apparent component. Walk the arrows once: set the input, apply the rule, then read the result with its unit.
The retained audit below checks several chapter fixtures. This added model holds every other chapter fixture fixed, so the numeric fixture does not switch without explanation.
Derive the baseline in four named moves
- 1
Name the input. The chapter baseline for sample rate in hertz is 400.
- 2
Name the relationship. Nyquist=fs/2; falias=|nfs-f|; q=VFSR/2^N; tsettle=RsCs(N+1)ln2
- 3
Substitute the chapter fixture. Set sample rate in hertz to 400. The page ledger gives apparent component as 50 Hz.
- 4
Read the result. Keep Hz beside the value. Use it only inside the technical boundary on this page.
Predict, then change sample rate in hertz
Try Predict the direction of apparent component. Move one control, calculate, then check your prediction.
Observe Raising fs through 700 Hz stops the fold. It does not change the converter's voltage bins, because those belong to a different datasheet line. Reset the control to 400 and compare apparent component.
Explain Only sample rate in hertz moves here. The other chapter fixtures remain fixed.
Check yourself
What should you do before trusting a moved-control result?
What does this small model leave out?
1. See two different ladders
Sampling places a ladder along time. Quantisation places another ladder along voltage. A signal can fall between the rungs of either ladder.
2. Name the time limit
Set the ceilingA sample rate fs can preserve frequencies only through fs/2.
Find the copyChoose the nearest whole multiple n·fs to the real frequency.
Measure the foldfalias=|n·fs−f| when f is above Nyquist.
3. Name the voltage limit
An N-bit converter has 2^N levels across its full-scale range.
The source resistance and sample capacitor add a settling check: approximately RsCs(N+1)ln2 for half-LSB accuracy.
4. Try the sample rate
TryMove the sampling line while the chapter's catalog-typical 350 Hz component and 12-bit channel stay fixed.
ObserveAt 400 Hz, Nyquist is 200 Hz, so the true 350 Hz component appears as 50 Hz. The 12-bit voltage floor remains 0.806 mV per code and 0.233 mV RMS.
ExplainRaising fs through 700 Hz stops the fold. It does not change the converter's voltage bins, because those belong to a different datasheet line.
The alias model treats one pure component and an ideal sampler.
- an analogue anti-alias filter
- Needs separate evidence
- effective-bit loss
- Needs separate evidence
- reference noise
- Needs separate evidence
- nonlinearity
- Needs separate evidence
- aperture jitter
- Needs separate evidence
- sensor noise
- Needs separate evidence
- The RC settling estimate assumes a first-order source and the stated 5 pF sample capacitor
- Needs separate evidence
Use field evidence or a deeper model before release.
5. Work the voltage ladder
6. Check acquisition settling
The 400 Hz period is 2.50 ms, so ideal settling occupies only about 0.018% of it. That margin is evidence, not permission to ignore a different sensor's source impedance.
7. Check yourself
Why does 350 Hz appear as 50 Hz at 400 samples/s?
What does adding one ADC bit change?
Can a digital filter recover the original 350 Hz after aliasing?
These are the chapter inputs, worked results, and named teaching assumptions.
- This chapter intentionally does not specify one sensor part
- Sensor scale, pressure, or digital result
- 3.3 V range
- Voltage or voltage-step value
- 12 bits
- Digital resolution or converter setting
- 400 Hz sample rate
- Frequency, sample rate, or event rate
- 350 Hz component
- Frequency, sample rate, or event rate
- 10 kΩ source
- Resistance or impedance value
- 5 pF sample capacitor are explicitly catalog-typical teaching values
- Named teaching assumption
The worked results trace to those stated assumptions, not to a hidden product claim.
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