Abstract
This chapter discusses the importance of fast Fourier transform (FFT), which successfully converts data from the time domain to the frequency domain. The FFT is an efficient computer algorithm for executing the Fourier transform process. Usually, the FFT is used to extract frequency domain information for tests that include signal-to-noise ratio (SNR), harmonic distortion as well as frequency response. In order to use the FFT, understanding the input requirements, process constraints and the output format is mandatory. At the same time, the signal data captured by the digitizer in the time domain forms the input data set to the fast Fourier transform. This chapter also describes that time domain data represents variations in amplitude over time, whereas frequency domain data represents variations in amplitude over frequency. The amplitude of the alias will be exactly the same as the amplitude of the original signal, which is limited only by the bandwidth of the digitizer. The bandwidth, therefore, is the frequency limit of the digitizer.
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