Howtosignalprocessing
- How many samples needed for FFT?
- How does sample rate affect FFT?
- How many samples are needed for DFT?
- What is sampling rate in FFT?
How many samples needed 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.
How does sample rate affect FFT?
Frequency resolution depends on how many seconds of the signal you are passing to the FFT. Sampling rate determines the bandwidth of the FFT, so with a higher sampling rate you can analyse higher frequencies.
How many samples are needed for DFT?
So at least 6 samples should be taken to complete one cycle of min frequency. Now the frequency resolution is 100 Hz. Since the sampling frequency is 10 MHz, Maximum frequency can be detected is 5 MHz. So 5MHz/100Hz = 50000 points will be there in first half of FFT.
What is sampling rate in FFT?
The sampling rate or sampling frequency fs of the measuring system (e.g. 48 kHz). This is the average number of samples obtained in one second (samples per second). The selected number of samples; the blocklength BL. This is always an integer power to the base 2 in the FFT (e.g., 2^10 = 1024 samples)
