Howtosignalprocessing
- How can you get a high frequency resolution in the spectrum of the FFT?
- What the FFT analysis of a signal tells us about the signal?
- What does the amplitude of FFT mean?
- What do peaks in FFT represent?
How can you get a high frequency resolution in the spectrum of the FFT?
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.
What the FFT analysis of a signal tells us about the signal?
The output of the FFT is a complex vector containing information about the frequency content of the signal. The magnitude tells you the strength of the frequency components relative to other components. The phase tells you how all the frequency components align in time.
What does the amplitude of FFT mean?
The amplitude of the FFT is related to the number of points in the time-domain signal. Use the following equation to compute the amplitude and phase versus frequency from the FFT. where the arctangent function here returns values of phase between –π and +π, a full range of 2π radians.
What do peaks in FFT represent?
FFTs of complex vibrations have multiple peaks- one for each frequency present in the vibration. Low frequency peaks are shown at the left end of the graph. The left-most peak represents the fundamental. Other peaks indicate overtones.
