Judder Percentage Calculator

Observed actual caller-classified judder presentation percentage, same capture/reference criteria, not infer judder from averageFPS.

Description

A judder percentage summarizes presentations classified using a defined observation criterion.

A judder percentage summarizes presentations classified using a defined observation criterion.1

The same capture window must supply both the classified subset and the total presentations. The calculation and input requirements are explained below.

When to use Judder Percentage Calculator

Enter integer judder-classified count from 0 to 1000000 and total presentation count from 1 to 1000000.

How to use Judder Percentage Calculator and how it works

  1. Prepare the measurements or independently established model inputs described below, with matching units and observation scope.
  2. Enter the required fields and run Judder Percentage Calculator.
  3. Read the result fields using the formula, output units, signs and ordering explained below.
  4. Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
Input fieldMeaningValue typeRequirement
actualIndependentlyClassifiedJudderPresentationCountActual Independently Classified Judder Presentation Count. Use the units and matching context stated in the calculation below.numberRequired; integer 0–1000000; finite; other constraints below
actualObservedPresentationCountActual Observed Presentation Count. Use the units and matching context stated in the calculation below.numberRequired; integer 1–1000000; finite; other constraints below

Enter integer judder-classified count from 0 to 1000000 and total presentation count from 1 to 1000000. The classified subset must not exceed the total. Return its percentage without inferring judder from average frame rate.

judderPercent=100*classifiedJudderCount/presentationCount

Apply the input ordering, units and branch conditions stated above.

Output fieldMeaningValue type
resultObject containing the calculated or selected fields below.object
result.valueNumeric result under the formula and output units explained above.number
json
{
  "input": {
    "actualIndependentlyClassifiedJudderPresentationCount": 2,
    "actualObservedPresentationCount": 4
  },
  "output": {
    "result": {
      "value": 50
    }
  }
}

Limitations and assumptions

The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.

All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.

Alternative or Complementary methods

Use Low Persistence Duty Cycle Calculator for a complementary operation: Low-persistence displays emit light during part of each refresh period.

Use Display Refresh Rate Required Calculator for a complementary operation: A refresh budget can limit angular movement between display updates.

References

  1. Judder Percentage Calculator — tool.io

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