Howtosignalprocessing
- How can I make my FFT more accurate?
- How to scale FFT in Matlab?
- How do you find the frequency range in FFT?
- Why frequency domain is better than the time domain for signal analysis?
How can I make my FFT more accurate?
The most intuitive way to increase the frequency resolution of an FFT is to increase the size while keeping the sampling frequency constant. Doing this will increase the number of frequency bins that are created, decreasing the frequency difference between each.
How to scale FFT in Matlab?
Scale by 1/sqrt(M) for the FFT, and by sqrt(M) for the IFFT.
How do you find the frequency range in 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.
Why frequency domain is better than the time domain for signal analysis?
The frequency domain representation of a signal allows you to observe several characteristics of the signal that are either not easy to see, or not visible at all when you look at the signal in the time domain. For instance, frequency-domain analysis becomes useful when you are looking for cyclic behavior of a signal.
