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Inverse FFT Calculator

Radix-2 Cooley–Tukey inverse FFT, N=2^k ≤64, Numpy backward 1/N. Same engine as Discrete Fourier Transform. Not a second DFT engine. Not CAS. Runs locally.

Instant result
Result

Enter values to calculate.

Inputs
Mode
Formula
Trust summary Engine tested · Specification checked · 17/17 tests · Production surface contract 3/3 · v1.2.0
Input interpretation
Enter values to calculate.
Result
Model
Radix-2 Cooley–Tukey inverse FFT of a length-N sequence, N=2^k ≤64, Numpy backward 1/N, with an engine-linked stem figure of |x[n]|.
Scope
Mode locked to ifft
Verification
Engine tested · 17/17 tests · Production surface contract 3/3 · Specification checked · v1.2.0
Named expert review
Optional · Not performed
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Specification basis
Evidence
6 golden · 3 boundary · 8 property · Production surface contract 3/3 · Artifact integrity PASS
Production
Embedded snapshot: unpublished · Build schema 1.2.0 ready · Semantic contract ✓ · Attestation report not published on origin · Live production status STALE (4 capabilities; 161 remain CURRENT) @ 2026-09-21T10:26:02.216Z
Semantic contract
PASS

Formulas

Core equations used by this calculator.

Inverse (Numpy backward)x[n] = (1/N) Σ_k X[k] e^{2πi kn/N}
DCX = [N, 0, …, 0] → x = [1, 1, …, 1]
iSame engine as /discrete-fourier-transform. The 1/N scale is here, not on the forward FFT. N must be a power of 2. Not a second engine. Not /inverse-dft.

How to use

1

Enter X[k] as samples

Real list, optional im of the same length. N must be 2^k and 1–64. Default 4,0,0,0.

2

Read x[n]

DC spectrum 4,0,0,0 inverts to 1,1,1,1. Round-trip with /fft recovers the sequence. The stem figure shows |x[n]| with the marker at n=0.

Example calculations

Common configurations with formula and result.

ϟ

Inverse DC

samples = 4,0,0,0

x = [1, 1, 1, 1]
1
ϟ

Inverse all-ones

samples = 1,1,1,1

x = [1, 0, 0, 0]
1

Inverse FFT calculator specification

Version 1.2.0 · Engine tested

Calculation status

Review policy · Evidence

Definition
The radix-2 IFFT is the Cooley–Tukey inverse of the unnormalized DFT, with Numpy-backward scale 1/N: x[n]=(1/N) Σ_k X[k] e^{2πi kn/N} when N=2^k. This page is mode=ifft on math.transform.dft. N≤64. Forward FFT lives on /fft. Direct inverse DFT is on /inverse-dft. Not Laplace. Not CAS.
What it calculates
Radix-2 Cooley–Tukey inverse FFT of a length-N sequence, N=2^k ≤64, Numpy backward 1/N, with an engine-linked stem figure of |x[n]|.
Inputs
  • samples
  • im?
Outputs
  • n
  • re
  • im
  • mag
Formula
x[n] = (1/N) Σ_k X[k] e^{2πi kn/N} (radix-2)
Assumptions
  • Mode locked to ifft
  • Radix-2 Cooley–Tukey, N=2^k ≤64, Numpy backward 1/N
  • The Result Card includes an engine-linked stem figure of |x[n]| (marker is n=0 / published x[0]). Same mag as REST/MCP.
  • Not a second DFT engine
  • Not Laplace, not CAS
Units
  • dimensionless
Boundary conditions
  • empty samples → INVALID_INPUT
  • N not a power of 2 → INVALID_INPUT
  • N > 64 → INVALID_INPUT
  • unknown mode → INVALID_MODE
Example
samples=4,0,0,0 → x=[1,1,1,1]
Validation cases

2 published on this page · 17/17 tests · Production surface contract 3/3 · View evidence

  • samples=4,0,0,0 → re=[1,1,1,1]
  • samples=1,0,0 → INVALID_INPUT
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Calculation version
1.2.0
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Frequently asked questions

Key distinctions behind the calculation.

Is this a second DFT engine?

No. It is mode=ifft on math.transform.dft, the same engine as /calc/math/discrete-fourier-transform.

Is this the direct inverse DFT?

No. Direct O(N²) IDFT is on /inverse-dft. This seed is radix-2 Cooley–Tukey. For power-of-2 N the values match. Not CAS.

Where does this run?

Locally in the browser by default. REST and MCP call the same discrete-fourier-transform engine.