Howtosignalprocessing
- What is 64 point FFT?
- What are the limitations of FFT?
- What are the two types of FFT?
- What is the number of samples sample values that we usually choose for FFT?
What is 64 point FFT?
The 64-point FFT is realized by decomposing it into a two-dimensional structure of 8-point FFTs. This approach reduces the number of required complex multiplications compared to the conventional radix-2 64-point FFT algorithm. The complex multiplication operations are realized using shift-and-add operations.
What are the limitations of FFT?
A disadvantage associated with the FFT is the restricted range of waveform data that can be transformed and the need to apply a window weighting function (to be defined) to the waveform to compensate for spectral leakage (also to be defined). An alternative to the FFT is the discrete Fourier transform (DFT).
What are the two types of FFT?
These are called the radix-2 and mixed-radix cases, respectively (and other variants such as the split-radix FFT have their own names as well).
What is the number of samples sample values that we usually choose for FFT?
The number of samples (N) in the FFT must be an integer power of 2. Therefore, N = 2p, where p is a positive integer. This rule minimizes the number of multiplications—and therefore the computation time—needed to compute the coefficients of the Fourier series.
