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FFT Real Frequency Bin Weight

Return the real-FFT one-sided power weight, keeping DC and an even-length Nyquist bin single and interior bins double.

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Description

Choose a supplied real-FFT bin's one-sided power weight.

Numerical physics calculations depend on discretization, index conventions, boundary conditions and model units. A local force kick is only part of an integration method, a stencil residual is not a solved field, and a one-sided power weight is not a spectral-density normalization. Floating-point resolution also limits grid and coordinate representations.

Choose a supplied real-FFT bin's one-sided power weight.

When to use this tool

Use FFT Real Frequency Bin Weight when you already have sampleCount, binIndex and need to choose a supplied real-FFT bin's one-sided power weight.

How to use the tool and how it works

  1. Enter sampleCount, binIndex. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read oneSidedPowerWeight. Use the output convention below.

Require positive safe sampleCount and whole binIndex in [0,floor(N/2)]; weight=1 at DC or the even-N Nyquist bin, otherwise 2.1

One-sided real-data power combines the contributions of paired positive and negative frequencies. Choosing power versus power-density normalization remains a separate step from this bin weight.2

Input fieldMeaning and unitsAccepted input
sampleCountSample CountRequired. Safe integer; minimum 1.
binIndexBin IndexRequired. Safe integer; minimum 0.
Output fieldInterpretationReturned shape
oneSidedPowerWeightOne for DC and an even-length Nyquist bin, two for all other valid one-sided bins; a power weight, not an amplitude multiplier.Required. Safe integer.
json
{
  "input": {
    "sampleCount": 8,
    "binIndex": 2
  },
  "output": {
    "oneSidedPowerWeight": 2
  }
}

Limitations and assumptions

  • This weight is for folding symmetric power, not doubling Fourier amplitudes or normalizing a PSD. No transform, sampling rate, window or spectrum is computed.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete discretized model, integration algorithm and boundary treatment. Assess convergence, conservation and stability with the full calculation; individual residuals, CFL components, relaxation terms and index mappings do not establish numerical accuracy or physical validity.

References

  1. Calculation and input contract: computational-physics/fft-real-frequency-bin-weight — tool.io

  2. scipy.signal.periodogram: One-sided spectra and scaling — SciPy

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