- What is a range FFT?
- What is 64 point FFT?
- How many points do you need for FFT?
- What are the two types of FFT?
What is a range FFT?
The frequency range of an FFT result depends on the sample rate frequency at which the input data points were evenly sampled. The FFT results are then data points in the frequency domain spaced at the sample rate frequency divided by the FFT length, from 0 or DC up to half the sample rate.
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.
How many points do you need for FFT?
Because the FFT function uses a base 2 logarithm by definition, it requires that the range or length of the time series to be evaluated contains a total number of data points precisely equal to a 2-to-the-nth-power number (e.g., 512, 1024, 2048, etc.).
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).