- What is 64 point FFT?
- What is the number of samples sample values that we usually choose for FFT?
- What is a perfect FFT?
- What is 1024 point 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 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.
What is a perfect FFT?
all frequency values except 10 Hz, where its value is −256i. The magnitude at this point is 256, and when we divide by N/2 = 512/2 = 256, we get a modified amplitude of exactly 1 V – the FFT is perfect.
What is 1024 point FFT?
A 1024-point, 32-bit, fixed, complex FFT processor is designed based on a field programmable gate array (FPGA) by using the radix-2 decimation in frequency (DIF) algorithm and the pipeline structure in the butterfly module and the ping-pone operation in data storage unit.