How to design FFT for 2000 points?

1. How many points do you need for FFT?
2. How many samples do I need for FFT?
3. What is 64 point FFT?
4. How do you calculate FFT?

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.).

How many samples do I need for FFT?

The number of samples (N) in the FFT must be an integer power of 2. Therefore, N = 2^p, 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.

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 do you calculate FFT?

Signal Processing, Digital

In the FFT formula, the DFT equation X(k) = ∑x(n)W_N^nk is decomposed into a number of short transforms and then recombined. The basic FFT formulas are called radix-2 or radix-4 although other radix-r forms can be found for r = 2^k, r > 4.