Howtosignalprocessing
- What the FFT analysis of a signal tells us about the signal?
- What is the FFT of a sine wave?
- How many points do you need for FFT?
- What are FFT points?
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 is the FFT of a sine wave?
The FFT. The function fft( ) estimates the coefficients of the Fourier transform, transforming a time-domain signal (i.e., an observed fMRI time series) into a series of sine waves with different amplitudes and phases. Fourier coefficients are complex numbers, with values in the real and imaginary planes.
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.).
What are FFT points?
The more points we have, the higher our frequency resolution is. This is our "fft poitns" - the amount of points in the FFT. A 2 point fft would have to sample inputs and two frequency bins. A 2024 point FFT would take 2024 points on the input and output 2024 frequency points.
