CALCULATORS / SIGNALS, SAMPLING AND DATA

Anti-alias-filter requirement estimate calculator

Single-pole low-pass attenuation at Nyquist; no complete anti-alias design.

signals-anti-alias-filter.napkin / editable
✓ checks pass

SCENARIO COMPARISON

Compare the numbers.

This source describes an analytical model. Its quantities and checks are the view.

ScenarionyquistHzmagnitudeattenuationDb
5000.19611614.1497
4000.24253612.3045

All calculated quantities are listed with the inputs. Switch to Source to inspect the equations.

SCENARIOS / CALCULATED VALUESSAME SOURCE

Change an input to see the consequences.

Nyquist attenuation target in dB14.15 ✓ passes

BASELINE INPUTS

CALCULATED

nyquist500 Hz
magnitude0.19612
attenuationDb14.15

Edits change the baseline source.

Calculated from your source · not saved
Baseline · Baseline
Nyquist attenuation target in dB14.15 ✓ passes
alternative · alternative
Nyquist attenuation target in dB12.30 ✓ passes

Illustrative first-order example. Checks are editable requirements, not design standards. The broader topic may require additional equations, data, and validation.

Formula and units

This example uses the following equations. Input names and units match the editable source above.

nyquist
nyquist = sampleRate/2 [Hz]
magnitude
magnitude = 1/sqrt(1+(nyquist/cutoff)^2)
attenuation db
attenuationDb = -20*log10(magnitude)

Original worked example

These are the baseline values in the downloadable source. Edits above let you test your own values.

Given

sample rate
1000 Hz
cutoff
100 Hz

Calculated

nyquist
500 Hz
magnitude
0.196116
attenuation db
14.1497

Assumptions and limits

Single-pole low-pass attenuation at Nyquist; no complete anti-alias design.

The requirement checks use the limits written in this example. Passing a check does not establish that the model covers every load, material behavior, or operating condition in a real design.

Download this .napkin example ↓

Take it further with your agent

Napkin keeps the inputs, equations, checks and assumptions together in one study. Your agent sets it up; you change the numbers.

Try with Claude ↗

codex 'Use Napkin (https://napkin.engineering/mcp, or the local Napkin plugin) to build a study: Anti-alias-filter requirement estimate. Inputs: sample rate; passband; interfering spectrum; attenuation target. Outputs: transition band; candidate order/model. Model scope: Sampled-data models with stated bandwidth and noise assumptions. Read napkin_capabilities and the current snapshot. Ask me for the values that matter, label assumptions with units, author .napkin source, validate it and apply it with napkin_source using the current revision, then open the study. Add checks for the limits I supply. Keep unsupported analyses explicit.'

Claude needs the Napkin connector; Codex needs the Napkin plugin. Set up your agent ↗

The broader study

The topic brief below describes the broader scope. The worked example above states the particular calculation it implements.

  • Inputs: sample rate, passband, interfering spectrum, attenuation target
  • Outputs: transition band, candidate order/model
  • Modes: calculate, compare, sweep
  • Drawing: Signal, samples and spectrum

EXECUTABLE WORKED EXAMPLE · FIRST-ORDER MODEL · CHECK THE SCOPE & ASSUMPTIONS

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