FFT Frequency Bin

Δf = Fs / N

Quick answer

This calculator solves Δf = Fs / N for Bin Width. With Sample Rate 100 kHz, FFT Points 0.5, the result is 0.2 MHz. It solves in 3 directions, so you can enter the values you have and get the one you need.

Calculator

Bin Width (Hz)
—

Formula

Δf = Fs / N

Description

Each FFT output bin represents a frequency range of width Fs/N hertz. The k-th bin corresponds to the frequency k × Δf. The total number of unique frequency bins is N/2 + 1 (from DC to Nyquist). Choosing the FFT size involves a tradeoff between frequency resolution (finer with larger N), time resolution (faster update with smaller N), and computational cost. Power-of-two FFT sizes (256, 512, 1024, 2048, 4096) are most efficient for radix-2 FFT algorithms.

Variables

  • Δf — Frequency width per bin (Hz)
  • Fs — Sampling frequency (Hz)
  • N — Number of FFT points

Practical Notes

For real-time spectrum analysis: N = 256 gives fast updates but coarse resolution, N = 4096 gives fine resolution but slower updates. Overlap processing (50-75% overlap between consecutive FFT frames) improves time resolution without sacrificing frequency resolution. The spectrogram (waterfall display) shows how the spectrum evolves over time using successive FFT frames.

Symbols and units

Symbol Meaning Default unit Accepted units
df Bin Width Hz Hz, kHz, MHz, GHz
Fs Sample Rate kHz Hz, kHz, MHz, GHz
N FFT Points — —

Step by step

  1. 1. What you know: Sample Rate 100 kHz, FFT Points 0.5
  2. 2. The relation: Δf = Fs / N
  3. 3. Substitute: Fs = 100 kHz, N = 0.5
  4. 4. Result: Bin Width = 0.2 MHz

Worked examples

Minimum range

Given: Sample Rate 100 Hz, FFT Points 0.025

Result: Bin Width = 4 kHz

Low range

Given: Sample Rate 1 kHz, FFT Points 0.25

Result: Bin Width = 4 kHz

Typical

Given: Sample Rate 100 kHz, FFT Points 0.5

Result: Bin Width = 0.2 MHz

High range

Given: Sample Rate 0.5 MHz, FFT Points 0.8

Result: Bin Width = 0.625 MHz

Maximum range

Given: Sample Rate 5 MHz, FFT Points 8

Result: Bin Width = 0.625 MHz

Solving for each variable

Solve for Bin Width

Sample Rate 100 Hz, FFT Points 0.025 → 4 kHz

Solve for Sample Rate

Bin Width 5 Hz, FFT Points 0.025 → 0.125 Hz

Solve for FFT Points

Bin Width 5 Hz, Sample Rate 100 Hz → 20

How Bin Width changes with Sample Rate

Sample Rate (input) Bin Width (result)
10 kHz 20 kHz
25 kHz 50 kHz
50 kHz 100 kHz
75 kHz 150 kHz
100 kHz 0.2 MHz
150 kHz 0.3 MHz
0.2 MHz 0.4 MHz
0.4 MHz 0.8 MHz
0.7 MHz 1.4 MHz
1 MHz 2 MHz

The same result in other units

Unit Value
Hz 200000
kHz 200
MHz 0.2
GHz 0.0002

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Frequently asked questions

How do you calculate FFT Frequency Bin?

Use Δf = Fs / N. With Sample Rate 100 kHz, FFT Points 0.5, Bin Width works out to 0.2 MHz.

What is the bin width of an fft size 52428800 and sample frequency 23.4375mhz?

Rearrange for Bin Width: with Sample Rate 1 kHz, FFT Points 0.25, Bin Width is 4 kHz.

What is the formula for FFT Frequency Bin?

The formula is Δf = Fs / N. Each FFT output bin represents a frequency range of width Fs/N hertz.

How do you find Sample Rate when you know the other values?

Rearrange for Sample Rate: with Bin Width 5 Hz, FFT Points 0.025, Sample Rate is 0.125 Hz.

How do you find FFT Points when you know the other values?

Rearrange for FFT Points: with Bin Width 5 Hz, Sample Rate 100 Hz, FFT Points is 20.

What units does FFT Frequency Bin use?

Bin Width is shown in Hz, kHz, MHz, GHz. Values are held in SI base units internally, so you can mix prefixes without converting by hand.

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