Bins

Definition of the DFT / FFT Bin Size

Definition of the DFT / FFT Bin Size
  1. What is FFT bin size?
  2. How is FFT bin size calculated?
  3. What are the bins of a DFT?
  4. What is DFT size?

What is FFT bin size?

The FFT size defines the number of bins used for dividing the window into equal strips, or bins. Hence, a bin is a spectrum sample , and defines the frequency resolution of the window. By default : N (Bins) = FFT Size/2.

How is FFT bin size calculated?

FFT bins and bin width

The bin width is stated in hertz. The bin width can be calculated by dividing the sample rate by the FFT length; or by dividing the bandwidth by the number of bins (which is equal to 1/2 the FFT length).

What are the bins of a DFT?

The DFT output frequency bins correspond to the frequencies Fk=kFsN. With the more common frequency axis of half positive, half negative frequencies, the frequency bins for a DFT are given by f=np. arange(-Fs/2, Fs/2, Fs/N) . In this case, an fftshift of the DFT output is required before plotting the result.

What is DFT size?

If we look at the dimensions of the DFT result, we get 2+31*2 which is, again, 64 dimensions. Here is a visual representation of the matrix elements using the complex unit circle: The first row is the DC component or the bias. It only has real components.

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