Howtosignalprocessing
- Does FFT have to be power of 2?
- Are FFTs limited to sizes that are powers of 2?
- What is FFT buffer size?
- How many times faster is an FFT than a DFT for a block size of 256 samples?
Does FFT have to be power of 2?
Sure, you can use a radix-2 FFT to compute FFTs for lengths not a power of 2 (but it is not as efficient as using methods specifically tailored to the factors of the sequence length).
Are FFTs limited to sizes that are powers of 2?
1.6 Are FFTs limited to sizes that are powers of 2? No. The most common and familiar FFTs are “radix 2”. However, other radices are sometimes used, which are usually small numbers less than 10.
What is FFT buffer size?
The Fast Fourier Transform (FFT) breaks the time series into buffers for faster calculation. Each buffer is 2n points long, i.e. 32, 64, 128, 256, ..., 131072 points. Each buffer has its own frequency spectrum.
How many times faster is an FFT than a DFT for a block size of 256 samples?
This means FFT is 32 times faster than DFT.
