- Does FFT have to be power of 2?
- Are FFTs limited to sizes that are powers of 2?
- What is radix 2 FFT algorithm?
- What is zero padding in FFT?
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 radix 2 FFT algorithm?
Radix-2 algorithm is a member of the family of so called Fast Fourier transform (FFT) algorithms. It computes separately the DFTs of the even-indexed inputs (x0,x2,...,xN−2) and of the odd-indexed inputs (x1,x3,...,xN−1), and then combines those two results to produce the DFT of the whole sequence.
What is zero padding in FFT?
``Zero-padding'' means adding additional zeros to a sample of data (after the data has been windowed, if applicable). For example, you may have 1023 data points, but you might want to run a 1024 point FFT or even a 2048 point FFT.